Evidence map›Paper›PMID 39837409›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2025

Low socioeconomic status adversely influences outcomes after coronary artery bypass grafting.

Paige E Brlecic, Christopher B Sylvester, Katie J Hogan, Qianzi Zhang, Joseph S Coselli, Marc R Moon, Todd K Rosengart, Subhasis Chatterjee, Ravi K Ghanta

Abstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Paige E BrlecicDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex.
Christopher B SylvesterDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Medical Scientist Training Program, Baylor College of Medicine, Houston, Tex.
Katie J HoganDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Medical Scientist Training Program, Baylor College of Medicine, Houston, Tex.
Qianzi ZhangDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex.
Joseph S CoselliDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Department of Cardiovascular Surgery, The Texas Heart Institute, Houston, Tex.
Marc R MoonDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Department of Cardiovascular Surgery, The Texas Heart Institute, Houston, Tex.
Todd K RosengartDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Department of Cardiovascular Surgery, The Texas Heart Institute, Houston, Tex.
Subhasis ChatterjeeDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Department of Cardiovascular Surgery, The Texas Heart Institute, Houston, Tex.
Ravi K GhantaDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, Houston, Tex; Department of Cardiovascular Surgery, The Texas Heart Institute, Houston, Tex. Electronic address: ravi.ghanta@bcm.edu.

Funding

Research Training Program in Cardiovascular SurgeryT32HL139430 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Todd K Rosengart · 2018 to 2026
$2.9M
Cell Plasticity-Based Reprogramming Strategies to Enhance Human Myocardial RegenerationR01HL152280 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI ROSENGART, TODD K · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL152280NHLBI NIH HHS T32 HL139430
6 · The paper itself

Abstract

objectivesAlthough socioeconomic status (SES) is believed to affect patient outcomes after coronary artery bypass grafting (CABG), readmission data are sparse. In a national cohort, we analyzed the influence of SES on readmission, resource utilization, and mortality after CABG.

methodsWe queried the Nationwide Readmissions Database to identify patients who underwent isolated CABG from January 2016 through December 2018. We derived low, middle, and high SES from International Classification of Diseases, 10th Revision, Clinical Modification codes, patient demographics, and neighborhood-level factors. The effect of SES on risk-adjusted outcomes was assessed with multivariable analysis.

resultsOf 523,042 patients who underwent CABG, the 134,039 (25.6%) with low SES were more likely than patients with middle (n = 305,572 [58.4%]) or high SES (n = 83,431 [16%]) to be female, younger, from rural areas, and admitted urgently. Patients with low SES were also less likely to be treated at teaching hospitals and had higher Elixhauser comorbidity scores (P < .001 for all). After risk adjustment, patients with low SES had 46% greater odds of in-hospital mortality at the index operation (odds ratio, 1.464; 95% CI, 1.299-1.650) than patients with high SES. Patients with low SES had the longest index hospital length of stay (P < .001). Low SES was associated with greater odds of readmission at 30 days (odds ratio, 1.229; 95% CI, 1.170-1.292), 90 days (odds ratio, 1.281; 95% CI, 1.223-1.341), and within a calendar year (hazard ratio, 1.234; 95% CI, 1.193-1.278) than high SES.

conclusionsPatients with low SES have greater adjusted odds of mortality and readmission after CABG than patients with high SES.

Indexed as

Coronary Artery BypassCoronary Artery DiseaseSocial ClassAgedDatabases, FactualFemaleHospital MortalityHumansLow Socioeconomic StatusMaleMiddle AgedPatient ReadmissionRetrospective StudiesRisk AssessmentRisk FactorsSocial Determinants of Healthcardiac surgerycoronary artery bypass graftingdisparitiesreadmissionsocial determinants of healthsocioeconomic status

Identifiers

PMID39837409
PMCPMC13061371

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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.