Evidence map›Paper›PMID 40211407›Full record

ArticleCardio-oncology (London, England)2025

Hemoglobin A1c stratifies risk of adverse cardiovascular outcomes in prostate cancer survivors in the UK Biobank: a cohort study.

Adithya K Yadalam, Alexander C Razavi, Sagar A Patel, Chang Liu, Yan V Sun, Anant Mandawat

Abstract readLetter
In one paragraph

Article in Cardio-oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Adithya K YadalamDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Alexander C RazaviDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Sagar A PatelDepartment of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Chang LiuRollins School of Public Health, Department of Epidemiology, Emory University, Atlanta, GA, USA.
Yan V SunDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Anant MandawatDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA. anant.mandawat@emory.edu.

Funding

NHLBI NIH HHS 5T32 HL007745-30NHLBI NIH HHS T32 HL130025-06
6 · The paper itself

Abstract

Cardiovascular mortality is a major cause of death in prostate cancer (PCa) survivors, yet tools for cardiovascular risk stratification in this population are lacking. Although hemoglobin A1c (HbA1c) is routinely utilized for risk stratification in the general population, the value of HbA1c for cardiovascular risk stratification in patients with PCa is unknown. Leveraging data from the UK Biobank, we analyzed the association of HbA1c and adverse cardiovascular outcomes in 2,270 men diagnosed with PCa. Over a median follow-up of 13.4 (IQR 1.7) years, 172 cardiovascular death or non-fatal myocardial infarction (MI) events occurred. When compared to participants with an HbA1c < 5.7% in competing-risk regression analysis accounting for non-cardiovascular death, HbA1c ≥ 6.5% was the strongest predictor of cardiovascular death or non-fatal MI (sHR 1.88, 95% CI 1.01-3.48, P < 0.001) after insulin use in a risk model adjusted for demographics, traditional cardiovascular risk factors, and insulin use. Furthermore, when compared to age-matched male UK Biobank participants without PCa, continuous HbA1c levels were a stronger predictor of adverse cardiovascular outcomes in PCa survivors (P-interaction = 0.011). Our findings highlight HbA1c as a robust predictor of cardiovascular risk in men with PCa. Further prospective studies are needed to discern if improving glycemic control could decrease the risk of adverse cardiovascular outcomes in this population.

Indexed as

DiabetesGlycemic controlHbA1cHemoglobin A1cOutcomesProstate cancerRisk factorRisk prediction

Identifiers

PMID40211407
PMCPMC11983747

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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.