Evidence map›Paper›PMID 28349547›Full record

ArticleThe Prostate2017

Larger men have larger prostates: Detection bias in epidemiologic studies of obesity and prostate cancer risk.

Andrew Rundle, Yun Wang, Sudha Sadasivan, Dhananjay A Chitale, Nilesh S Gupta, Deliang Tang, Benjamin A Rybicki

Abstract read
In one paragraph

Article in The Prostate, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Obesity at Diagnosis and Prostate Cancer Prognosis and Recurrence Risk Following Primary Treatment by Radical Prostatectomy.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  6. Review
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 at 2 institutions in 1 country.

Andrew RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.ORCID http://orcid.org/0000-0003-0211-7707
Yun WangDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
Sudha SadasivanDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
Dhananjay A ChitaleDepartment of Pathology, Henry Ford Health System, Detroit, Michigan.
Nilesh S GuptaDepartment of Pathology, Henry Ford Health System, Detroit, Michigan.
Deliang TangEnvironmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Benjamin A RybickiDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
Henry Ford Health System · USColumbia University · US

Funding

Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2014 to 2021
$10.1M
GENE-ENVIRONMENT INTERACTION IN PROSTATE CANCERR01ES011126 · NIEHS · HENRY FORD HEALTH SYSTEM · PI RYBICKI, BENJAMIN A. · 2000 to 2017
$8.0M
NIEHS NIH HHS P30 ES020957NIEHS NIH HHS R01 ES011126
6 · The paper itself

Abstract

backgroundObesity is associated with risk of aggressive prostate cancer (PCa), but not with over-all PCa risk. However, obese men have larger prostates which may lower biopsy accuracy and cause a systematic bias toward the null in epidemiologic studies of over-all risk.

methodsWithin a cohort of 6692 men followed-up after a biopsy or transurethral resection of the prostate (TURP) with benign findings, a nested case-control study was conducted of 495 prostate cancer cases and controls matched on age, race, follow-up duration, biopsy versus TURP, and procedure date. Data on body mass index and prostate volume at the time of the initial procedure were abstracted from medical records.

resultsPrior to consideration of differences in prostate volume, overweight (OR = 1.41; 95%CI 1.01, 1.97), and obese status (OR = 1.59; 95%CI 1.09, 2.33) at the time of the original benign biopsy or TURP were associated with PCa incidence during follow-up. Prostate volume did not significantly moderate the association between body-size and PCa, however it did act as an inverse confounder; adjustment for prostate volume increased the effect size for overweight by 22% (adjusted OR = 1.52; 95%CI 1.08, 2.14) and for obese status by 23% (adjusted OR = 1.77; 95%CI 1.20, 2.62). Larger prostate volume at the time of the original benign biopsy or TURP was inversely associated with PCa incidence during follow-up (OR = 0.92 per 10 cc difference in volume; 95%CI 0.88, 0.97). In analyses that stratified case-control pairs by tumor aggressiveness of the case, prostate volume acted as an inverse confounder in analyses of non-aggressive PCa but not in analyses of aggressive PCa.

conclusionsIn studies of obesity and PCa, differences in prostate volume cause a bias toward the null, particularly in analyses of non-aggressive PCa. A pervasive underestimation of the association between obesity and overall PCa risk may exist in the literature.

Indexed as

ObesityProstatic NeoplasmsBiasBody Mass IndexBody SizeEpidemiologic StudiesHumansMaleMiddle AgedOrgan SizeProstateProstate-Specific AntigenRisk AssessmentRisk FactorsStatistics as TopicProstate-Specific Antigenobesityprostate cancerprostate volume

Identifiers

PMID28349547
PMCPMC5460373
OpenAlexW2601844346

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.