Evidence map›Paper›PMID 39469125›Full record

ArticleFrontiers in cardiovascular medicine2024

Association between weekend admission and in-hospital mortality for patients with ischemic heart disease upon surgery treatment.

Tianzhao Liu, Chuangpeng Lin, Chenyang Jia, Binbin Wu, Hailong Liu, Yan Liang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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. Article
  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.

Tianzhao Liu *School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Chuangpeng Lin *Quality Control Department, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Chenyang JiaQuality Control Department, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Binbin WuSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Hailong LiuSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Yan LiangSino-European Center of Biomedicine and Health, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The existence and reasons for the weekend effect in patients with ischemic heart disease (IHD) were not yet fully identified. This study aimed to evaluate whether weekend admission was independently associated with in-hospital mortality and the possible mechanisms associated with the IHD patients. Methods: The study was a retrospective study, including IHD patients from 2015 to 2023. The International Classification of Diseases, tenth revision (ICD-10) codes were used to identify all admissions with a primary diagnosis of IHD. The sample was divided into weekday and weekend groups. We performed a multivariate logistic regression analysis and a mediation analysis to estimate the effect of weekend admission on hospital mortality. Results: A total of 18,906 IHD patients were included in the study, with an average age of 63.8 ± 12.7. Of these patients, 21.7% ( Conclusions: IHD patients with a surgical therapy or admitted from emergency department had a significantly higher risk of mortality when admitted on weekends compared to weekdays. These findings have potential implications for resource allocation and redistribution of surgery to weekends in hospitals.

Indexed as

in-hospital mortalityischemic heart diseasemediation analysissurgery treatmentweekend effect

Identifiers

PMID39469125
PMCPMC11513328

What Socratic 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 Socratic graph.