Literature DB >> 22144503

The impact of obesity on follow-up after an abnormal screening mammogram.

Ellen A Schur1, Joann E Elmore, Tracy Onega, Karen J Wernli, Edward A Sickles, Sebastien Haneuse.   

Abstract

BACKGROUND: Effective breast cancer screening and early detection are crucial for obese women, who experience a higher incidence of the disease and present at later stages.
METHODS: We examined the association between body mass index (BMI) and timeliness of follow-up after 241,222 abnormal screening mammograms carried out on 201,470 women in the Breast Cancer Surveillance Consortium. Each mammogram had one of three recommendations for follow-up: short-interval follow-up, immediate additional diagnostic imaging, and biopsy/surgical consultation. We used logistic regression to estimate the adjusted effect of BMI on any recorded follow-up within 270 days of the recommendation; linear regression was used to model the mean follow-up time among those with recorded follow-up.
RESULTS: As compared with normal-weight women, higher BMI was associated with slightly increased odds of follow-up among women who received a recommendation for short-interval follow-up (ORs: 1.03-1.10; P = 0.04) or immediate additional imaging (ORs: 1.03-1.09; P = 0.01). No association was found for biopsy/surgical consultation recommendations (P = 0.90). Among those with recorded follow-up, higher BMI was associated with longer mean time to follow-up for both short-interval (3-10 days; P < 0.001) and additional imaging recommendations (2-3 days; P < 0.001) but not biopsy/surgical consultation (P = 0.06). Regardless of statistical significance, actual differences in days to follow-up across BMI groups were small and unlikely to be clinically significant.
CONCLUSIONS: Once obese women access screening mammography, their follow-up after abnormal results is similar to that of normal-weight women. IMPACT: Efforts to improve early detection of breast cancer in obese women should focus elsewhere, such as improving participation in screening mammography. ©2011 AACR.

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Year:  2011        PMID: 22144503      PMCID: PMC3275693          DOI: 10.1158/1055-9965.EPI-11-0762

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  27 in total

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Review 2.  Bias, discrimination, and obesity.

Authors:  R Puhl; K D Brownell
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Authors:  Eugenia E Calle; Carmen Rodriguez; Kimberly Walker-Thurmond; Michael J Thun
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4.  Obesity, tamoxifen use, and outcomes in women with estrogen receptor-positive early-stage breast cancer.

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Journal:  J Natl Cancer Inst       Date:  2003-10-01       Impact factor: 13.506

5.  Does obesity compromise survival in women with breast cancer?

Authors:  A R Carmichael; S Bendall; L Lockerbie; R J Prescott; T Bates
Journal:  Breast       Date:  2004-04       Impact factor: 4.380

6.  Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1995

7.  Obesity and breast cancer screening.

Authors:  Christina C Wee; Ellen P McCarthy; Roger B Davis; Russell S Phillips
Journal:  J Gen Intern Med       Date:  2004-04       Impact factor: 5.128

8.  What factors are associated with diagnostic follow-up after abnormal mammograms? Findings from a U.S. National Survey.

Authors:  K Robin Yabroff; Nancy Breen; Sally W Vernon; Helen I Meissner; Andrew N Freedman; Rachel Ballard-Barbash
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-05       Impact factor: 4.254

9.  The association between obesity and screening mammography accuracy.

Authors:  Joann G Elmore; Patricia A Carney; Linn A Abraham; William E Barlow; Joseph R Egger; Jessica S Fosse; Gary R Cutter; R Edward Hendrick; Carl J D'Orsi; Prashni Paliwal; Stephen H Taplin
Journal:  Arch Intern Med       Date:  2004-05-24

10.  Overweight women delay medical care.

Authors:  C L Olson; H D Schumaker; B P Yawn
Journal:  Arch Fam Med       Date:  1994-10
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