Evidence map›Paper›PMID 39897798›Full record

ArticleHeliyon2025

Female sex is associated with short-term mortality in coronary artery bypass grafting patients: A propensity-matched analysis.

Mostafa Abbas, Thomas Morland, Rohit Sharma, Jeffrey Shuhaiber, H Lester Kirchner, Yasser El-Manzalawy

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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. Review
  2. Article
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.

Mostafa AbbasDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Thomas MorlandDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Rohit SharmaDepartment of General Internal Medicine, Geisinger, Danville, PA, USA.
Jeffrey ShuhaiberGeisinger Heart Institute, Geisinger, Danville, PA, USA.
H Lester KirchnerDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Yasser El-ManzalawyDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Females undergoing coronary artery bypass grafting (CABG) surgery have been reported to be at increased risk of postoperative mortality and comorbidity. Our main objective is to evaluate the impact of female sex on 30-day mortality after isolated CABG surgery. Methods: We created a retrospective cohort of adult patients underwent isolated CABG surgery between 2006 and 2020 in a large rural healthcare system. Patients were grouped by sex and a 1:1 nearest neighbor propensity score matching method was performed to reduce the bias due to potential confounding. Association between female sex and 30-day mortality was assessed using conditional regression analysis and appropriate statistical tests for matched analyses. Associations between female sex and eight secondary outcomes were also considered. Results: Out of 5616 adult patients underwent isolated CABG surgery, 1352 were females. The propensity scoring matching method provided 1346 matched pairs with no observed significant imbalance for any of the included confounders. The conditional logistic regression analysis showed independent association between female sex and 30-day mortality (OR = 1.83, CI = 1.10-3.04, p = 0.02). Conclusions: Females undergoing isolated CABG surgery were at significantly greater risk of postoperative 30-day mortality and longer postoperative length of stay. Further research is needed to identify and address the causes of these disparities.

Indexed as

Coronary artery bypass graftingDisparitiesGenderMortalityOutcomes

Identifiers

PMID39897798
PMCPMC11786880

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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.