Evidence map›Paper›PMID 40331737›Full record

ArticleAmerican journal of epidemiology2026

Effect of exogenous testosterone on cardiovascular, cerebrovascular, and thromboembolic adverse events: results of three complementary research designs.

Tat-Thang Vo, Samrat Roy, Ting Ye, Askhan Erterfaie, Thanh Phuong Pham Nguyen, James Flory, Charles E Leonard, Dylan S Small, Sean Hennessy

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Tat-Thang VoEpiDermE, University Paris Est Creteil, Gif-sur-Yvette, 94010, France.ORCID 0000-0001-6485-9947
Samrat RoyOperations and Decision Sciences, Indian Institute of Management Ahmedabad, Ahmedabad 380015, India.ORCID 0000-0002-0436-0164
Ting YeBiostatistics, University of Washington, Seattle, WA 98195, United States.ORCID 0000-0001-6009-641X
Askhan ErterfaiePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-2611-9512
Thanh Phuong Pham NguyenPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-3589-764X
James FloryDepartment of Medicine, Memorial Sloan Cancer Center, New York, NY 10065, United States.ORCID 0000-0002-0259-969X
Charles E LeonardPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0002-5092-9657
Dylan S SmallDepartment of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-4928-2646
Sean HennessyPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-4726-9413

Funding

US National Institutes of Health R01AG064599
6 · The paper itself

Abstract

The cardiovascular risks of exogenous testosterone have been a subject of controversy. In this study, our objective was to examine the association between testosterone (versus glaucoma treatments as an active comparator, with no assumed effect) and the new onset of cardiovascular, cerebrovascular and thromboembolic adverse events, in a US commercial insurance database. Data were analyzed by three complementary designs: inverse propensity score weighting (IPSW), calendar time instrumental variable and instrumented difference-in-differences. Results of these analyses suggest that there is no difference between testosterone and glaucoma treatments regarding the risk of the composite primary endpoint of acute myocardial infarction, ischemic stroke and sudden cardiac arrest/ventricular arrhythmia. In contrast, IPSW analysis identified a negative association between testosterone and the secondary endpoint of venous thromboembolism. However, this association was attenuated towards the null in the calendar time instrumental variable and difference-in-differences analysis, which suggests that there might be unmeasured confounding in the IPSW analysis. Because there is no uniquely suitable method that offers a universally optimal solution for evaluating causal relationships between exposures and outcomes from observational data, using multiple state-of-the-art methods to answer the question of interest can help in assessing the robustness of findings to various forms of unmeasured confounding, thereby aiding in causal inference.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersTestosteroneThromboembolismFemaleHumansMaleMiddle AgedMyocardial InfarctionPropensity ScoreResearch DesignStrokeUnited StatesTestosteronecardiovascularcerebrovasculariDiDIPSWIVtestosteronethromboembolic

Identifiers

PMID40331737
PMCPMC13232935

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.