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Annals of Internal Medicine

Clinical Guidelines

Screening Mammography for Women 40 to 49 Years of Age: A Clinical Practice Guideline from the American College of Physicians
Amir Qaseem, MD, PhD, MHA; Vincenza Snow, MD; Katherine Sherif, MD; Mark Aronson, MD; Kevin B. Weiss, MD, MPH; and Douglas K. Owens, MD, MS, for the Clinical Efficacy Assessment Subcommittee of the American College of Physicians*

Breast cancer is one of the most common causes of death for women in their 40s in the United States. Individualized risk assessment plays an important role when making decisions about screening mammography, especially for women 49 years of age or younger. The purpose of this guideline is to present the available

evidence for screening mammography in women 40 to 49 years of age and to increase clinicians’ understanding of the benefits and risks of screening mammography.
Ann Intern Med. 2007;146:511-515. For author affiliations, see end of text. www.annals.org

RECOMMENDATIONS
Recommendation 1: In women 40 to 49 years of age, clinicians should periodically perform individualized assessment of risk for breast cancer to help guide decisions about screening mammography. A careful assessment of a woman’s risk for breast cancer is important. The 5-year breast cancer risk can vary from 0.4% for a woman age 40 years with no risk factors to 6.0% for a woman age 49 years with several risk factors (1). Factors that increase the risk for breast cancer include older age, family history of breast cancer, older age at the time of first birth, younger age at menarche, and history of breast biopsy. Women 40 to 49 years of age who have any of the following risk factors have a higher risk for breast cancer than the average 50-year-old woman: 2 first-degree relatives with breast cancer; 2 previous breast biopsies; 1 firstdegree relative with breast cancer and 1 previous breast biopsy; previous diagnosis of breast cancer, ductal carcinoma in situ (DCIS), or atypical hyperplasia; previous chest irradiation (1); or BRCA1 or BRCA2 mutation (2, 3). A family history can also help identify women who may have BRCA mutations that place them at substantially higher risk for breast and other types of cancer (Table). These women should be referred for counseling and recommendations specific to this population, as recommended by the U.S. Preventive Services Task Force (USPSTF) (4). Risk assessments should be updated periodically, particularly in women whose family history changes (for example, a relative receives a diagnosis of breast or ovarian cancer) and in women who choose not to have regular screening mammography. Although no evidence supports specific intervals, we encourage clinicians to update the woman’s risk assessment every 1 to 2 years. The risk for invasive breast cancer can be estimated quantitatively by using the Web site calculator provided by the National Institutes of Health (NIH) (http://bcra.nci

.nih.gov/brc/q1.htm) (1). This calculator is based on the Gail model, which takes into account many of the risk factors previously mentioned. However, clinicians who use the Gail model should be aware of its limitations. Although the model accurately predicts the risk for cancer for groups of women, its ability to discriminate between higher and lower risk for an individual woman is limited (5, 6). This limitation occurs because many women have similar, relatively low absolute risks for invasive breast cancer over 5 years, which makes discrimination among levels of risk difficult for an individual woman. Recommendation 2: Clinicians should inform women 40 to 49 years of age about the potential benefits and harms of screening mammography. Screening mammography for women 40 to 49 years of age is associated with both benefits and potential harms. The most important benefit of screening mammography every 1 to 2 years in women 40 to 49 years of age is a potential decrease in breast cancer mortality. A recent meta-analysis estimated the relative reduction in the breast cancer mortality rate to be 15% after 14 years of follow-up (relative risk, 0.85 [95% credible interval {CrI}, 0.73 to 0.99]) (7). An additional large randomized clinical trial of screening mammography in women 40 to 49 years of age found a similar decrease in the risk for death due to breast

See also: Print Editorial comment. . . . . . . . . . . . . . . . . . . . . . . . . . 529 Related articles . . . . . . . . . . . . . . . . . . . . . . . . 502, 516 Summary for Patients. . . . . . . . . . . . . . . . . . . . . . . I-20 Web-Only Conversion of table into slide

*This paper, written by Amir Qaseem, MD, PhD, MHA; Vincenza Snow, MD; Katherine Sherif, MD; Mark Aronson, MD; Kevin B. Weiss, MD, MPH; and Douglas K. Owens, MD, MS, was developed for the Clinical Efficacy Assessment Subcommittee of the American College of Physicians (ACP): Douglas K. Owens, MD, MS (Chair); Mark Aronson, MD; Patricia Barry, MD, MPH; Donald E. Casey Jr., MD, MPH, MBA; J. Thomas Cross Jr., MD, MPH; Nick Fitterman, MD; E. Rodney Hornbake, MD; Katherine D. Sherif, MD; and Kevin B. Weiss, MD, MPH (Immediate Past Chair). Approved by the ACP Board of Regents on 15 July 2006. © 2007 American College of Physicians 511

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Clinical Guidelines

Guidelines for Screening Mammography in Women Age 40 to 49 Years

Table. Family History Patterns Associated with an Increased Risk for BRCA1 or BRCA2 Gene Mutations*
Both maternal and paternal family histories are important Women not of Ashkenazi Jewish heritage Two first-degree relatives with breast cancer, 1 of whom received the diagnosis at age 50 years A combination of 3 first- or second-degree relatives with breast cancer regardless of age at diagnosis A combination of both breast and ovarian cancer among first- and second-degree relatives A first-degree relative with bilateral breast cancer A combination of 2 first- or second-degree relatives with ovarian cancer regardless of age at diagnosis A first- or second-degree relative with both breast and ovarian cancer at any age A history of breast cancer in a male relative Women of Ashkenazi Jewish heritage Any first-degree relative (or 2 second-degree relatives on the same side of the family) with breast or ovarian cancer

* Adapted from data from the U.S. Preventive Services Task Force (4).

cancer, although the decrease did not reach statistical significance (relative risk, 0.83 [95% CI, 0.66 to 1.04]) (8). Potential risks of mammography include false-positive results, diagnosis and treatment for cancer that would not have become clinically evident during the patient’s lifetime, radiation exposure, false reassurance, and procedureassociated pain. False-positive mammography can lead to increased anxiety and to feelings of increased susceptibility to breast cancer, but most studies found that anxiety resolved quickly after the evaluation. Recommendation 3: For women 40 to 49 years of age, clinicians should base screening mammography decisions on benefits and harms of screening, as well as on a woman’s preferences and breast cancer risk profile. Because the evidence shows variation in risk for breast cancer and benefits and harms of screening mammography based on an individual woman’s risk profile, a personalized screening strategy based on a discussion of the benefits and potential harms of screening and an understanding of a woman’s preferences will help identify those who will most benefit from screening mammography. For many women, the potential reduction in breast cancer mortality rate associated with screening mammography will outweigh other considerations. For women who do not wish to discuss the screening decision, screening mammography every 1 to 2 years in women 40 to 49 years of age is reasonable. Important factors in the decision to undergo screening mammography are women’s preferences for screening and the associated outcomes. Concerns about risks for breast cancer or its effect on quality of life will vary greatly among women. Some women may also be particularly concerned about the potential harms of screening mammography, such as false-positive mammograms and the resulting diagnostic work-up. When feasible, clinicians should explore women’s concerns about breast cancer and screening mammography to help guide decision making about mammography.
512 3 April 2007 Annals of Internal Medicine Volume 146 • Number 7

The relative balance of benefits and harms depends on women’s concerns and preferences and on their risk for breast cancer. Clinicians should help women to judge the balance of benefits and harms from screening mammography. Women who are at greater-than-average absolute risk for breast cancer and who are concerned that breast cancer would have a severely adverse effect on quality of life may derive a greater-than-average benefit from screening mammography. Women who are at substantially lower-thanaverage risk for breast cancer or who are concerned about potential risks of mammography may derive a less-thanaverage benefit from screening mammography. If a woman decides to forgo mammography, clinicians should readdress the decision to have screening every 1 to 2 years. Recommendation 4: We recommend further research on the net benefits and harms of breast cancer screening modalities for women 40 to 49 years of age. Methodological issues associated with existing breast cancer screening trials, such as compliance with screening, lack of statistical power, and inadequate information about inclusion or exclusion criteria and study population, heighten the need for high-quality trials to confirm the effectiveness of screening mammography in women in this age group. Furthermore, harms of screening in this age group, such as pain, radiation exposure, and adverse outcomes related to false-positive results, should also be studied.

INTRODUCTION
Breast cancer is the second leading cause of cancerrelated death among women in the United States. In 2005, an estimated 211 240 new cases of invasive breast cancer will be diagnosed, and 40 410 women will die of the disease (9). Screening mammography reduces breast cancer mortality in women 50 to 70 years of age. Although 25% of all diagnosed cases are among women younger than 50 years of age (9), screening mammography in this age group has remained a topic of debate because of the difficulty in determining the benefit of mammography in this age group. A meta-analysis performed for the USPSTF estimated that screening mammography every 1 to 2 years in women 40 to 49 years of age resulted in a 15% decrease in breast cancer mortality rate after 14 years of follow-up (7). However, the 95% credible interval for this estimate is wide and indicates that the reduction could be as much as 27% or as little as 1%. This relative risk reduction corresponds to about 5.6 deaths prevented per 10 000 women screened (95% CrI, 0.9 to 13.1 deaths prevented per 10 000 women screened). Because screening mammography is also associated with potential harms, a discussion of risks (biopsies, surgery, radiation exposure, false-positive results, and false reassurance), benefits (early detection of breast cancer), and patient preferences should be the basis for screening decisions. The purpose of this guideline is to present the availwww.annals.org

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Guidelines for Screening Mammography in Women Age 40 to 49 Years

Clinical Guidelines

able evidence and to increase clinicians’ understanding of the benefits and risks of screening mammography in women 40 to 49 years of age. The target audience is clinicians who are caring for women in this age group. The target patient population is all women 40 to 49 years of age. These recommendations are based on the systematic review of the evidence in the background paper in this issue (6). The systematic evidence review does not include breast cancer risk in men and genetic risk markers, such as BRCA. The goal for this guideline was to answer the following questions: 1. What are the benefits of screening mammography in women 40 to 49 years of age? 2. What are the risks associated with screening mammography in women 40 to 49 years of age? 3. Does the balance of risks and benefits vary according the individual woman’s characteristics? 4. What are the methodological issues that affect the interpretation of the results of previous meta-analyses?

BENEFITS
Of the 8 currently published meta-analyses, 7 estimated that screening women 40 to 49 years of age reduced breast cancer mortality rates, but only 3 of these found a statistically significant reduction (7). The most recent meta-analysis found that screening mammography every 1 to 2 years in women 40 to 49 years of age results in a 15% decrease in breast cancer mortality rate after 14 years of follow-up (relative risk, 0.85 [95% CI, 0.73 to 0.99]) (7). However, concerns about study quality and whether some of the observed benefit may be due to screening that occurred after the women turned 50 years of age complicate interpretation of the evidence. The use of death due to breast cancer as an end point can be criticized because cause of death could have been misclassified, and therefore some authors have suggested using overall mortality as the primary end point. However, estimation of the effect of screening mammography on total mortality would require very large study samples to detect any differences between screened and unscreened groups. Finally, the benefit of screening mammography in younger women remains controversial because of concerns about the quality of the trials that showed this result. Some of the trials had inadequate and inconsistent reporting of randomization, differences in baseline characteristics between study groups, and women in the control group who were screened outside the study protocol. Depending on how stringently the quality criteria were applied, meta-analyses could vary from the 2001 Cochrane meta-analysis that included only 2 of the 8 trials that targeted women between 40 and 49 years of age (10) to the recent USPSTF report that included all trials but the Edinburgh trial (7). A recent study (11) based on 7 modelbased analyses concluded that screening mammography resulted in a 7.5% to 22.7% reduction in the breast cancer www.annals.org mortality rate but did not specifically evaluate the effect of screening mammography in women 40 to 49 years of age. On balance, however, we concurred with authors of the meta-analysis for the USPSTF guideline, who concluded that the limitations of the trials were not sufficient to exclude them (7). We believe the weight of the evidence supports a modest reduction in breast cancer mortality rate with mammography screening of approximately 15% in women 40 to 49 years of age, but the wide CIs for this estimate reflect that the reduction could be larger or nearly zero. Some uncertainty exists in measuring the absolute impact of screening on morbidity associated with breast cancer and its treatment. Early diagnosis through screening is more likely to be associated with breast-conserving surgery. An observational study found that screening is associated with an absolute increase in lumpectomy (0.7 per 1000 women) and a decrease in absolute risk for mastectomy (0.5 per 1000 women) (12). In summary, evidence demonstrates that screening mammography in women age 40 to 49 years, compared with women who do not get screened, decreases breast cancer mortality. However, the reduction in the mortality rate is smaller than the 22% (95% CrI, 0.70 to 0.87) reduction seen in women who are screened when they are older than 49 years of age (6, 7). In addition, the estimate of the mortality rate reduction may be affected by biases in the trials or the effects of screening after the age of 49 years.

RISKS
Risks of mammography include false-positive results, diagnosis of cancer that would not have become clinically evident during the patient’s lifetime, radiation exposure, false reassurance, and procedure-associated pain. Women 40 to 49 years of age may have a higher risk for a falsepositive result, and false-positive rates vary widely among several studies. Mushlin and colleagues’ meta-analysis (13) of the sensitivity and specificity of screening mammography showed false-positive rates of 0.9% and 6.5%, respectively. However, other analyses have demonstrated cumulative rates of false-positive mammograms of 38% after 10 mammograms (14) and 21% after 10 mammograms (15). Some studies show no difference in the false-positive rates between women 40 to 49 years age and those older than 49 years of age (16 –19). Outcomes associated with falsepositive screening mammograms included small increases in general anxiety and depression, anxiety specific to breast cancer, and perceived increased susceptibility to breast cancer; however, anxiety generally resolved quickly after evaluation (6). Use of mammography has been associated with increased diagnosis of DCIS. The natural history of DCIS is unknown, as is the percentage of these tumors that will progress to more serious disease. In 1999, 33% of women
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Clinical Guidelines

Guidelines for Screening Mammography in Women Age 40 to 49 Years

in whom DCIS was diagnosed had mastectomy, 64% had lumpectomy, and 52% had radiation (20). Not all DCIS cases may have required aggressive treatment, but reliable predictors of biological aggressiveness are difficult to categorize. No direct evidence links cancer risk with radiation exposure from mammography. Reported pain varied from 28% of women in 1 study to 77% of women in another study. However, pain associated with the mammographic procedure was described by few women as a disincentive from having any future screening (21–24).

risk in a group of women who are at similar risk than when discriminating between women who will and will not develop breast cancer. In addition, a clinician may be unable to assess the risk for breast cancer because of a lack of family history or in women who were adopted.

SUMMARY
Screening mammography probably reduces breast cancer mortality in women 40 to 49 years of age modestly. However, the reduction in this age group is smaller than that in women 50 years of age or older, is subject to greater uncertainty about the exact reduction in risk, and comes with the risk for potential harms (such as false-positive and false-negative results, exposure to radiation, discomfort, and anxiety). Because of the variation in benefits and harms associated with screening mammography, we recommend tailoring the decision to screen women on the basis of women’s concerns about mammography and breast cancer, as well as their risk for breast cancer. Assessment of an individual woman’s risk for breast cancer is important because the balance of harms and benefits will shift to net benefit as a woman’s baseline risk for breast cancer increases, all other factors being equal. For many women, the potential reduction in risk for death due to breast cancer associated with screening mammography will outweigh other considerations.

ESTIMATING INDIVIDUALIZED BENEFITS

AND

HARMS

Current evidence shows variation among women in terms of benefits and harms associated with screening mammography between 40 and 49 years of age (6). The decision to have screening mammography should be guided by the balance of benefits and harms for an individual woman. This balance will be affected by a woman’s view about how breast cancer and the outcomes associated with screening mammography will influence her quality of life and by her risk for breast cancer. Although the balance will favor screening for many women, it is less certain in women who are very concerned about the potential harms of mammography and who are at substantially lower-thanaverage risk for breast cancer. The main benefit of screening mammography every 1 to 2 years in women 40 to 49 years of age is a decrease in breast cancer mortality. Harms of screening mammography include false-positive results, radiation exposure, false reassurance, pain related to the procedure, and possible treatment for lesions that would not have become clinically significant. The probability of false-positive mammograms was also higher in women with dense breasts, if the interval since the last mammography was long, and in women who had previous breast biopsy (25, 26). In addition, women place substantially different value on a false-positive mammogram, a negative mammogram, and the reduction in the rate of mortality associated with breast cancer (27). A woman’s risk for breast cancer is influenced by age, family history of breast cancer, reproductive history, age at menarche, and history of breast biopsy. For example, the risk for breast cancer is higher for women 40 to 49 years of age if they have a history of breast cancer in a first-degree relative: 4.7 cases per 1000 examinations among women with family history versus 2.7 cases per 1000 examinations among those without family history. Older age, younger age at menarche, older age at the time of first birth, and history of breast biopsy also increase the risk for breast cancer. The absolute risk for breast cancer for a woman at a given age and with certain risk factors can be estimated by using the Web site calculator provided by the NIH that is based on the Gail model (1). However, the accuracy of the Gail model is better when predicting the average level of
514 3 April 2007 Annals of Internal Medicine Volume 146 • Number 7

RECOMMENDATIONS

OF

OTHER ORGANIZATIONS

The 2006 American Cancer Society guideline (28) recommends yearly mammograms starting at age 40 and continuing for as long as a woman is in good health. The 2003 American College of Obstetricians and Gynecologists guideline (29) recommends that women aged 40 to 49 years have screening mammography every 1 to 2 years. The 2002 USPSTF guideline (30) recommends screening mammography, with or without clinical breast examination (CBE), every 1 to 2 years for women aged 40 and older. The 2001 Canadian Task Force on Preventive Health Care (31) says that current evidence regarding the effectiveness of screening mammography does not suggest the inclusion of the maneuver in, or its exclusion from, the periodic health examination of women 40 to 49 years of age who are at average risk for breast cancer. Upon reaching 40 years of age, Canadian women should be informed of the potential benefits and risks of screening mammography and assisted in deciding at what age they wish to initiate the maneuver.
From the American College of Physicians and Drexel University College of Medicine, Philadelphia, Pennsylvania; Beth Israel Deaconess Medical Center, Boston, Massachusetts; Hines Veterans Affairs Hospital and www.annals.org Downloaded From: http://annals.org/ on 12/06/2013

Guidelines for Screening Mammography in Women Age 40 to 49 Years
Northwestern University, Chicago, Illinois; and Veterans Affairs Palo Alto Health Care System and Stanford University, Stanford, California.
Note: Clinical practice guidelines are guides only and may not apply to all patients and all clinical situations. Thus, they are not intended to override clinicians’ judgment. All ACP clinical practice guidelines are considered automatically withdrawn or invalid 5 years after publication or once an update has been issued.

Clinical Guidelines

Annals of Internal Medicine encourages readers to copy and distribute this paper, provided that such distribution is not for profit. Commercial distribution is not permitted without the express permission of the publisher.
Grant Support: Financial support for the development of this guideline

comes exclusively from the ACP operating budget.
Potential Financial Conflicts of Interest: Grants received: V. Snow (Agency for Healthcare Research and Quality, Centers for Disease Control and Prevention, Atlantic Philanthropies). Requests for Single Reprints: Amir Qaseem, MD, PhD, MHA, Amer-

ican College of Physicians, 190 N. Independence Mall West, Philadelphia, PA 19106; e-mail, aqaseem@acponline.org. Current author addresses are available at www.annals.org.

References
1. National Cancer Institute. Breast cancer risk assessment tool. Bethesda, MD: National Cancer Institute. Accessed at http://bcra.nci.nih.gov/brc/q1.htm on 31 January 2007. 2. Armstrong K, Eisen A, Weber B. Assessing the risk of breast cancer. N Engl J Med. 2000;342:564-71. [PMID: 10684916] 3. Nelson HD, Huffman LH, Fu R, Harris EL. Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: systematic evidence review for the U.S. Preventive Services Task Force. Ann Intern Med. 2005;143:362-79. [PMID: 16144895] 4. Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: recommendation statement. Ann Intern Med. 2005;143: 355-61. [PMID: 16144894] 5. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93:358-66. [PMID: 11238697] 6. Armstrong K, Moye E, Williams S, Berlin JA, Reynolds EE. Screening mammography in women 40 to 49 years of age: a systematic review for the American College of Physicians. Ann Intern Med. 2007;146:516-526. 7. Humphrey LL, Helfand M, Chan BK, Woolf SH. Breast cancer screening: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med. 2002;137:347-60. [PMID: 12204020] 8. Moss SM, Cuckle H, Evans A, Johns L, Waller M, Bobrow L, et al. Effect of mammographic screening from age 40 years on breast cancer mortality at 10 years’ follow-up: a randomised controlled trial. Lancet. 2006;368:2053-60. [PMID: 17161727] 9. American Cancer Society. Cancer Facts & Figures 2005. Atlanta: American Cancer Soc; 2005. 10. Olsen O, Gøtzsche PC. Cochrane review on screening for breast cancer with mammography [Letter]. Lancet. 2001;358:1340-2. [PMID: 11684218]

11. Berry DA, Cronin KA, Plevritis SK, Fryback DG, Clarke L, Zelen M, et al. Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med. 2005;353:1784-92. [PMID: 16251534] 12. Paci E, Duffy SW, Giorgi D, Zappa M, Crocetti E, Vezzosi V, et al. Are breast cancer screening programmes increasing rates of mastectomy? Observational study. BMJ. 2002;325:418. [PMID: 12193357] 13. Mushlin AI, Kouides RW, Shapiro DE. Estimating the accuracy of screening mammography: a meta-analysis. Am J Prev Med. 1998;14:143-53. [PMID: 9631167] 14. Olivotto IA, Kan L, Coldman AJ. False positive rate of screening mammography [Letter]. N Engl J Med. 1998;339:560. [PMID: 9714619] 15. Hofvind S, Thoresen S, Tretli S. The cumulative risk of a false-positive recall in the Norwegian Breast Cancer Screening Program. Cancer. 2004;101:1501-7. [PMID: 15378474] 16. Miller AB, Baines CJ, To T, Wall C. Canadian National Breast Screening Study: 2. Breast cancer detection and death rates among women aged 50 to 59 years. CMAJ. 1992;147:1477-88. [PMID: 1423088] 17. Miller AB, Baines CJ, To T, Wall C. Canadian National Breast Screening Study: 1. Breast cancer detection and death rates among women aged 40 to 49 years. CMAJ. 1992;147:1459-76. [PMID: 1423087] 18. Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V. Likelihood ratios for modern screening mammography. Risk of breast cancer based on age and mammographic interpretation. JAMA. 1996;276:39-43. [PMID: 8667537] 19. Peeters PH, Verbeek AL, Hendriks JH, van Bon MJ. Screening for breast cancer in Nijmegen. Report of 6 screening rounds, 1975-1986. Int J Cancer. 1989;43:226-30. [PMID: 2917799] 20. Baxter NN, Virnig BA, Durham SB, Tuttle TM. Trends in the treatment of ductal carcinoma in situ of the breast. J Natl Cancer Inst. 2004;96:443-8. [PMID: 15026469] 21. Leaney BJ, Martin M. Breast pain associated with mammographic compression. Australas Radiol. 1992;36:120-3. [PMID: 1520169] 22. Keemers-Gels ME, Groenendijk RP, van den Heuvel JH, Boetes C, Peer PG, Wobbes TH. Pain experienced by women attending breast cancer screening. Breast Cancer Res Treat. 2000;60:235-40. [PMID: 10930111] 23. Brew MD, Billings JD, Chisholm RJ. Mammography and breast pain. Australas Radiol. 1989;33:335-6. [PMID: 2633733] 24. Bakker DA, Lightfoot NE, Steggles S, Jackson C. The experience and satisfaction of women attending breast cancer screening. Oncol Nurs Forum. 1998;25:115-21. [PMID: 9460779] 25. Carney PA, Miglioretti DL, Yankaskas BC, Kerlikowske K, Rosenberg R, Rutter CM, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med. 2003;138:168-75. [PMID: 12558355] 26. Elmore JG, Miglioretti DL, Reisch LM, Barton MB, Kreuter W, Christiansen CL, et al. Screening mammograms by community radiologists: variability in false-positive rates. J Natl Cancer Inst. 2002;94:1373-80. [PMID: 12237283] 27. Schwartz LM, Woloshin S, Sox HC, Fischhoff B, Welch HG. US women’s attitudes to false positive mammography results and detection of ductal carcinoma in situ: cross sectional survey. BMJ. 2000;320:1635-40. [PMID: 10856064] 28. Smith RA, Cokkinides V, Eyre HJ. American Cancer Society guidelines for the early detection of cancer, 2006. CA Cancer J Clin. 2006;56:11-25. [PMID: 16449183] 29. ACOG practice bulletin. Clinical management guidelines for obstetriciangynecologists. Number 42, April 2003. Breast cancer screening. Obstet Gynecol. 2003;101:821-31. [PMID: 12685457] 30. Screening for breast cancer: recommendations and rationale. Ann Intern Med. 2002;137:344-6. [PMID: 12204019] 31. Ringash J. Preventive health care, 2001 update: screening mammography among women aged 40-49 years at average risk of breast cancer. CMAJ. 2001; 164:469-76. [PMID: 11233866]

www.annals.org

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Annals of Internal Medicine
Current Author Addresses: Drs. Qaseem and Snow: American College

of Physicians, 190 N. Independence Mall West, Philadelphia, PA 19106. Dr. Sherif: 219 North Broad Street, 6th Floor, Philadelphia, PA 19107.

Dr. Aronson: 330 Brookline Avenue, Boston, MA 02215. Dr. Weiss: PO Box 5000, Hines, IL 60141. Dr. Owens: 117 Encina Commons, Stanford, CA 94305.

W-134 3 April 2007 Annals of Internal Medicine Volume 146 • Number 7

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...MGMT 371 – Test 1 (9,1,2,4,7,8) Chapter 9: Managerial Decision Making Decision: a choice made from available alternatives Decision-making: the process of identifying problems and opportunities and then resolving them Programmed decisions: involve situations that have occurred often enough to enable decision rules to be developed and applied in the future Non-programmed decisions: are made in response to situations that are unique, are poorly defined and largely unconstructed, and have important consequences for an organization Certainty: all the information the decision maker needs is fully available Risk: a decision has clear-cut goals and that good information is available, but the future outcomes associated with each alternative is subject to change Uncertainty: managers know which goals they wish to achieve, but information about the alternatives and future events is incomplete Ambiguity: the most difficult decision situation; the goals to be achieved or the problem to be solved is unclear, alternatives are difficult to define and information about outcomes is unavailable * Can create a “wicked decision problem” which are associated with conflicts over goals and decision alternatives Classical-rational model: decision making based on rational economic assumptions and manager beliefs about what ideal decision making should be * Economics assumes that people are rational * How a decision maker SHOULD decisions (normative) * Considers all the alternatives...

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...MGMT 301; Exam 2; Spring 2012Fall 2010 Dirty Dozen Review Just a quick little review for Exam 2! Remember, all of Chapters 3, 5, and 9 are on it AND the SWOT we did on the Ski Shop Engagement Sheet (SWOT is found in Chapter 6, but we’re only doing the things we did in class …) Here’s a dozen to try. Don’t forget … you might see these questions again! Directions: Please read the following scenario, then answer the questions that follow.                                                                                                                                          “Managing a Ski Shop” Your best friend’s sister and brother-in-law run the local ski shop near campus in your college town, but they have recently bought another type of business in another town. They want you and your friend to take over managing the ski shop. If you run it successfully, you and your friend will gradually be given substantial equity in the shop and eventually would own the whole business. So far, the shop has been only marginally profitable. Although the shop carries ski equipment and ski clothing, it has habitually run out of both during the peak skiing season. Extra merchandise hastily ordered to meet the demand has often arrived so late that it could not be sold until the next season, if at all. In addition, the shop does very little business from March through August. Due to a dispute over the size and prominence of the outside sign displaying the shop’s name...

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...McDonald’s Job Satisfaction Hai Viet Le haile1505@gmail.com MGMT 591-Leadership and Organization Behaviors Professor: Tad Hove Introduction McDonald’s is a one of biggest fast food company all around the world. They have more than 34,000 restaurants and serving around 69 million people over 119 countries each day. My position is with a team member as a crew of one of McDonald’s restaurant. Their main focus is improving performance by implementing changes to increase productivity. These changes can include improved validation rules for approving financial content to new software implementations to increase productivity. McDonald’s Corporation directly about 15% restaurant, they develop their business thought franchise agreement. By collection franchise fees and marketing fees help them have more chance to bring their restaurant go around the world. With some agreements in the contact, they make sure that the franchisee follow their rule that they have to build all of restaurant is exactly the same with the order. McDonald’s Corporation a. Brief History “Dick and Mac McDonald opened their eponymous burger stand in 1948 in San Bernardino, Calif. Under the guidance of Ray Kroc, a onetime milkshake-mixer salesman wowed by the restaurant's success, McDonald's franchises grew swiftly: by the end of the 1960s, there were more than 1,000 across the U.S. The first international franchise opened in 1967 in British Columbia” (James, 2009). On the other hand, with the creation...

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...1. Introduction. This project is about the comparison between 2 country that is USA and China in terms of capitalism and democracy their economic growth and their personal growth and growth due to internet 2. Does the growth of the economies of the two nations have any relationship to capitalism and democracy? 3.1 Comparing the U.S. Federal Republic with the Republic of China All the countries in the world don’t have same form of government some work on the belief of their leader and some work on the basis of written constitution For Instance if you compare USA with China both have different system Democratic system of United state of America is strong. Whereas China is Communist which falls under the classification of People Republic United state has a government national organization stand upon 2 thing 1) Separation of Power 2) Federal system US government had a fear that if excess deliberation of power is given in that hand of commen man or in the hand of company it would not be safe for the freedom of the nation, so they revised the organization into 3 branch 1) Legislative 2) Executive 3) Judicial All these power are vested by US system named a Constitution which has 1) President 2) Federal Court 3) Supreme Court which is part of federal court All the power and duties of these 3 branches are clearly explained in act of Congress which also includes formation of department and courts inferior to the Supreme Court All...

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...Janice Miller AIU Environmental 210 Instructor: Jane Stepp April 26, 2015 Introduction: This research is in details of Air pollution, I will give information on how and why we needed to have a law enforce for the situation. Air pollution has been a problem for quite some years now , there has been many people who has become ill and died because of the combination of particle that are combine, that are damaging our living things due to the particle’s in the earth’s atmosphere. Summarize the major provisions of the law that you chose. In 1970 the Congress decides to get together to figure out a way to protect the public health and welfare from the different pollution caused by array of pollution sources. In 1970 is when the first basic structure of the Clean Air Act Amendment was in place, and as of 1977, and 1990 The Congress made major revision on the Clean Air Act. Congress primary objective is to the concern human health and second, aesthetics, agricultures. Their concentration was on separating the countries into air quality region, of the various pollutants in the surrounding air, so they could be more conscious of the health risk from the various pollutant is at zero. Describe the economic impact of the law. Provide specific economic data from credible reference. Since the Clean Air Act has been amend by the Congress and put to work , it has cut down pollution that has protected the American people , Many more people has lived longer...

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...Business School School of Management MGMT3101 INTERNATIONAL BUSINESS STRATEGY Course Outline Semester 2, 2015 Part A: Course-Specific Information Part B: Key Policies, Student Responsibilities and Support business.unsw.edu.au CRICOS Code 00098G Table of Contents PART A: COURSE-SPECIFIC INFORMATION 3 1 STAFF CONTACT DETAILS 3 2 COURSE DETAILS 3 2.1 2.2 2.3 2.4 2.5 Teaching Times and Locations Units of Credit Summary of Course Course Aims and Relationship to Other Courses Student Learning Outcomes 3 LEARNING AND TEACHING ACTIVITIES 3 3 3 4 4 6 3.1 Approach to Learning and Teaching in the Course 3.2 Learning Activities and Teaching Strategies 6 6 4 7 ASSESSMENT 4.1 Formal Requirements 4.2 Assessment Details INDIVIDUAL ASSESSMENTS 7 7 8 4.2.1 Individual Written Assignment (25%) 8 4.2.2. Quiz (total 20%) 9 4.2.3. Individual Participation (10%) 9 4.2.4. Peer Evaluation and Team Reflective Journal 10 4.2.4.1. Peer Evaluation (weighting marks on group assessments) 10 4.2.4.2. Team Reflective Journal (5%) 10 4.2.5. Team Case Analysis (15%) 11 4.2.6. Team Simulation Performance (25%) 12 4.3. Late Submission 14 14 5 COURSE RESOURCES 14 6 COURSE EVALUATION AND DEVELOPMENT 15 7 COURSE SCHEDULE 16 PART B: KEY POLICIES, STUDENT RESPONSIBILITIES AND SUPPORT 17 8 PROGRAM LEARNING...

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...* Question 1 | |   | A _______ approach to the study of religion focuses on myths and doctrines.Answer | | | | | Selected Answer: |   theoretical | Response Feedback: | Good work | | | | | * Question 2 5 out of 5 points | |   | Interpretations which are hostile to the place/role of women are ________.Answer | | | | | Selected Answer: |   misogynist | Response Feedback: | Good work | | | | | * Question 3 5 out of 5 points | |   | _______ is referred to by such terms as God, Nirvana, Brahman, and so forth.Answer | | | | | Selected Answer: |   Unconditioned Reality | Response Feedback: | Good work | | | | | * Question 4 5 out of 5 points | |   | Interpretations which overly emphasize the role of men in religion are ________.Answer | | | | | Selected Answer: |   androcentric | Response Feedback: | Good work | | | | | * Question 5 5 out of 5 points | |   | A __________ approach to the study of religion focuses on acts of worship.Answer | | | | | Selected Answer: |   practical | Response Feedback: | Good work | | | | | * Question 6 5 out of 5 points | |   | ______ are sometimes viewed as attempting to invoke a sacred past by the performance of various specific acts.Answer | | | | | Selected Answer: |   Rituals | Response Feedback: | Good work | | | | | * Question 7 5 out of 5 points | |   | _______ is not easily defined and is understood...

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...Report of my experiences of The Everest group simulation Jialing GUO Z5027270 Executive summary This report is an overview of my group experiences in the Harvard Everest simulation .Everest simulation is group work of students to use their own background knowledge of management attending to reach the summit of the Mountain Everest. It is required to complete by a group of students and students play one of five different roles on a team of hiker. Each member of the team has their unique goals to complete and there is also a common goal of reaching the Everest summit. During the simulated six-day climb, team members should analyze information on weather, health conditions, supplies, goals and hiking speed, and then determine how much of that information need to communicate with their teammates. Every decision that each member made will influence the team performance eventually. The aim for this simulation is to explore influences on collective decision-making, including opposing interests and cognitive biases, analyze different leadership approaches and team responses. Our group members include Raymond Duong, Anthony Le, James Peter Reid, Jialing Guo, Siqi Liu, Kazuya Ogino and Biljana Popovic. Our team score is 57% at the first time and only 28% at the second time. The quite low score our group earned may because the more risky decisions we made...

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...Derivative Losses at JPMorgan Chase LaVita Rodriguez Business Government and Society Case Study: Derivative Losses at JP Morgan Chase 1. Does this case indicate that JPMorgan and the federal government were in a collaborative partnership or working at arms length? Why do you think so? In a collaborative partnership the government works closely with organizations in efforts to achieve a common objective that is mutually beneficial. Working at arm’s length is the opposite of a collaborative partnership due to the objectives of the organization and government being opposite, creating an adversarial relationship between them. In the case of JP Morgan and the federal government, they demonstrate working at arm’s length. The federal government imposed regulations that would extend government oversight in the trading of derivatives by implementing government rules that required trades involve intermediaries in public “clearing houses” so that regulators could closely inspect transaction (Lawrence, A. T., & Weber, J., 2014). JPMorgan opposed the idea of trading derivatives in public because it would potentially benefit rivals and compromise the profit of the bank (Lawrence, A. T., & Weber, J., 2014). The objectives of the federal government and JPMorgan do not align. The federal government wants to implement regulations that would work to restructure JPMorgan from being able to take excessive risks that would result in large bailouts being forced onto taxpayers who are already...

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...Bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob bob...

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...Survey – Car Maintenance Please take the following survey and answer honestly. (Some answers are obvious) 1. What is the year, make, and model of your car? 2. What rank would you give yourself about car maintenance? 5 = grease monkey, 1= I only know how to drive a car. 3. When was the last time you got service on your car? What was the service? 4. How much did you pay for the service? 5. Where did you go to receive the service? 6. Why did you go to this place? Ex. Friend/family recommendation, found it online, I always go there. 7. Do you usually get help from others when you have a question about your car? If so, who? 8. Are you afraid of getting over charged for your car services? 9. What would make your car service experience better? 10. Would you prefer to see a list of prices for your particular service around your residence? (Cheapest prices near you). If no, please explain. 11. Have you ever used an app for car service? If so, which one? 12. Would you pay for an iPhone/android app that lists all the prices for a needed service near your area? 13. Would you pay for an app that recommends services specific to your car based on year, make, and model? 14. What would you be willing to pay for this app? 15. What additional feature(s) would you want as part of this app? 16. Please add any additional comments if necessary. Thanks for...

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...Managers and employees work together every day to produce the world we see today. Common misconceptions exist about a manager’s role and the driving force behind employees. Managers are commonly seen as the role that plans, coordinates, and controls what an employee does (Mintzberg, 1990, p. 1). Then the employee is simply motivated with money to do what the manager says. My successful experiences have proven otherwise. I have been fortunate to experience an employment environment that practices job enrichment and contemporary motivating techniques. I started as a temporary hourly wage employee with entry level IT responsibilities. The managers around me observed my personality and interests. They soon discovered my intrinsic motivators. Intrinsic motivators are the internal personal interests that naturally motivate a person (Herzberg, 1987, p. 2). Through day-to-day work interaction, they learned about my interests in software development and my studies in computer science. The managers compared the company’s to-do list with my personality and interests, where many of them aligned. After a few months, I was hired as a full time employee in the applications development department. I modified business applications aiding in business growth decisions. I also grew individually. Every day I was fine tuning my skills as a programmer. The employee/employer relationship was mutually beneficial. Sharing new ideas I learned in college shattered myopic thinking in the company....

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