Evidence map›Paper›PMID 28338879›Full record

ArticleAmerican journal of epidemiology2017

Evidence for Detection Bias by Medication Use in a Cohort Study of Breast Cancer Survivors.

Heidi S Wirtz, Gregory S Calip, Diana S M Buist, Julie R Gralow, William E Barlow, Shelly Gray, Denise M Boudreau

Abstract read
In one paragraph

Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Association of Janus kinase inhibitors with reduced depression in alopecia areata.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  3. Article
  4. Associations of child and adolescent obesity with the risk of neuroinflammatory diseases: analysis of data from a global health-care database.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Heidi S Wirtz
Gregory S Calip
Diana S M Buist
Julie R Gralow
William E Barlow
Shelly Gray
Denise M Boudreau

Funding

Long-term Survivorship in Older Women with Early Stage Breast CancerR01CA093772 · NCI · BOSTON MEDICAL CENTER · PI SILLIMAN, REBECCA A · 2003 to 2011
$7.5M
Cancer Prevention Trng-Nutrition, Exercise &GeneticsR25CA094880 · NCI · UNIVERSITY OF WASHINGTON · PI WHITE, EMILY · 2002 to 2016
$7.3M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
Commonly Used Medications and Breast Cancer RecurrenceR01CA120562 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BOUDREAU, DENISE M · 2007 to 2011
$2.1M
NCI NIH HHS R01 CA093772NCI NIH HHS R01 CA120562NCI NIH HHS R25 CA094880NCI NIH HHS U01 CA063731
6 · The paper itself

Abstract

In previous studies, we found modestly decreased and increased risks of second breast cancer events with the use of statins and antibiotics, respectively, after adjustment for surveillance mammography. We evaluated detection bias by comparing receipt of surveillance mammography among users of these 2 disparate classes of medication. Adult women diagnosed with early-stage breast cancer during 1990-2008 (n = 3,965) while enrolled in an integrated health-care plan (Group Health Cooperative; Washington State) were followed for up to 10 years in the Commonly Used Medications and Breast Cancer Outcomes (COMBO) Study. Categories of antibiotic use included infrequent (1-3 dispensings/12 months) and frequent (≥4 dispensings/12 months) use, and categories of statin use included less adherent (1 dispensing/6 months) and adherent (≥2 dispensings/6 months). We examined associations between medication use and surveillance mammography using multivariable generalized estimating equations and evaluated the impact of adjusting for surveillance within Cox proportional hazard models. Frequent antibiotic users were less likely to receive surveillance mammography (odds ratio (OR) = 0.90, 95% confidence interval (CI): 0.82, 0.99) than were nonusers; no association was found among infrequent users (OR = 0.96, 95% CI: 0.90, 1.03). Adherent statin use was associated with more surveillance compared with nonuse (OR = 1.11, 95% CI: 1.01, 1.25), but less adherent statin use was not (OR = 1.03, 95% CI: 0.81, 1.31). No difference in associations between medications of interest and second breast cancer events was observed when surveillance was removed from otherwise adjusted models. The influence of detection bias by medication use warrants further exploration.

Indexed as

BiasAdultAgedAged, 80 and overAnti-Bacterial AgentsBreast NeoplasmsDrug MonitoringFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMammographyMiddle AgedProportional Hazards ModelsRecurrenceSurvivorsAnti-Bacterial AgentsHydroxymethylglutaryl-CoA Reductase Inhibitorsbreast cancercancer survivorshipdetection biasepidemiologic methods

Identifiers

PMID28338879
PMCPMC5394250

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.