Evidence map›Paper›PMID 31641011›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Testosterone Therapy in Relation to Prostate Cancer in a U.S. Commercial Insurance Claims Database.

Michael B Cook, Daniel C Beachler, Lauren E Parlett, Philip T Cochetti, William D Finkle, Stephan Lanes, Robert N Hoover

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. 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
1.3field-weighted citation impact, top 18% 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, 17 citations in OpenAlex.

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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 5 institutions in 2 countries.

Michael B CookDivision of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland. michael.cook@nih.gov.
Daniel C BeachlerSafety and Epidemiology, HealthCore Inc., Wilmington, Delaware.
Lauren E ParlettTranslational Research and Quality, HealthCore Inc., Alexandria, Virginia.ORCID 0000-0003-1240-4566
Philip T CochettiDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania.ORCID 0000-0001-8117-4464
William D FinkleConsolidated Research, Inc., Los Angeles, California.
Stephan LanesSafety and Epidemiology, HealthCore Inc., Wilmington, Delaware.
Robert N HooverDivision of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland.
Department of Health and Human Services · USWilmington University · USOncolie · FRQuality Research · USUniversity of Pennsylvania · US

Funding

Prostate Cancer StudiesZIACP010180 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$9.9M
Prostate Cancer StudiesZ01CP010180 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HSING, ANN · 2002 to 2008
$2.2M
Intramural NIH HHS Z01 CP010180
6 · The paper itself

Abstract

backgroundWe conducted a study to assess whether testosterone therapy (TT) alters prostate cancer risk using a large U.S. commercial insurance research database.

methodsFrom the HealthCore Integrated Research Database (HIRD), we selected men ages 30 years or greater who were new users of TT during 2007 to 2015. We selected two comparison groups: (i) unexposed (matched 10:1) and (ii) new users of phosphodiesterase type 5 inhibitor (PDE5i). Incident prostate cancer was defined as diagnosis of prostate cancer within 4 weeks following prostate biopsy. Propensity scores and inverse probability of treatment weights were used in Poisson regression models to estimate adjusted incidence rates, incidence rate ratios (IRR), and 95% confidence intervals (CI). Subgroup analyses included stratification by prostate cancer screening, hypogonadism, and follow-up time.

resultsThe adjusted prostate cancer IRR was 0.77 (95% CI, 0.68-0.86) when comparing TT with the unexposed group and 0.85 (95% CI, 0.79-0.91) in comparison with the PDE5i group. Inverse associations between TT and prostate cancer were observed in a majority of subgroup analyses, although in both comparisons estimates generally attenuated with increasing time following initial exposure. Among TT users, duration of exposure was not associated with prostate cancer.

conclusionsMen who received TT did not have a higher rate of prostate cancer compared with the unexposed or PDE5i comparison groups. The inverse association between TT and prostate cancer could be the result of residual confounding, contraindication bias, or undefined biological effect. IMPACT: This study suggests that limited TT exposure does not increase risk of prostate cancer in the short term.

Indexed as

Administrative Claims, HealthcareAdultAgedBiopsyDatabases, FactualFor-Profit Insurance PlansHumansHypogonadismIncidenceMaleMiddle AgedPhosphodiesterase 5 InhibitorsProstateProstatic NeoplasmsRisk AssessmentTestosteronePhosphodiesterase 5 InhibitorsTestosterone

Identifiers

PMID31641011
PMCPMC6954307
OpenAlexW2981390056

What OpenQuestion holds

Textmetadata
LicenceTDM
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.