Evidence map›Paper›PMID 41507642›Full record

ArticleJournal of general internal medicine2026

Comparison of 30-Day Mortality After Diagnostic Coronary Angiography at VA and Community Hospitals.

Denise M Hynes, Diana J Govier, Alex Hickok, Meike Niederhausen, Mazhgan Rowneki, Howard S Gordon, Taisei Kobayashi

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Article in Journal of general internal medicine, 2026. 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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1 · What the graph read from it

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Denise M HynesCenter to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA. denise.hynes@va.gov.
Diana J GovierCenter to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA.
Alex HickokCenter to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA.
Meike NiederhausenCenter to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA.
Mazhgan RownekiCenter to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA.
Howard S GordonJesse Brown VA Medical Center, Chicago, IL, USA.
Taisei KobayashiCorporal Michael J Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

Funding

Health Services Research and Development 18-321Health Services Research and Development SDR 17-155Health Services Research and Development TPH 98-000-02HSRD VA I01 HX002655HSRD VA IK6 HX003395HSRD VA RCS 98-352U.S. Department of Veterans Affairs 21-136
6 · The paper itself

Abstract

backgroundThe US Department of Veterans Affairs (VA) delivers care in its own facilities (VAF) and purchases community care (VACC) for some services including diagnostic coronary angiography (DCA). Whether patients experience comparable outcomes for DCA through VAF and VACC is unknown.

objectiveTo compare 30-day all-cause and cardiac-related mortality associated with DCA in VAF and VACC.

designRetrospective cohort study with pooled cross-sectional analysis.

participantsVA patients who lived in the USA and underwent outpatient DCA in VAF or VACC between October 2015 and June 2019 (N = 31,640) were matched on nine baseline characteristics: age, race, rurality, drive distance to nearest VA primary care site, history of ischemic heart disease, history of valvular disease, procedure fiscal year, insurance status, and Elixhauser comorbidity index. Analysis was conducted from 2023 to 2025. MAIN MEASURES: Thirty-day all-cause and cardiac-related mortality. Average treatment outcomes of VACC were estimated using weighted regression adjustment to account for selection into VACC. Sub-analyses included regression models stratified by diagnosis of valvular disease and heart failure. KEY

resultsAmong 31,640 DCAs, 28.06% were performed through VACC. VACC and VAF DCAs were well-balanced. Overall, 30-day all-cause mortality was 0.96% (2.49% in VACC and 0.37% in VAF [SMD = 0.182]), and most were cardiac-related. Compared with those who underwent DCA at VAF, those who had DCA at VACC had greater odds of 30-day all-cause (aOR 6.918, 95% CI = 4.521, 10.586), cardiac-related (aOR 6.112, 95% CI 3.715, 10.055), and non-cardiac related (aOR 13.45, 95% CI 5.352, 33.801) mortality. In stratified models, VACC DCA was associated with greater odds of 30-day mortality for all subgroups.

conclusionsResults highlight the need for further research regarding strategies to improve follow-up and outcomes for VA patients undergoing DCA, particularly in VACC settings.

Indexed as

Coronary AngiographymortalityVeterans

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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.