Evidence map›Paper›PMID 40190402›Full record

ArticleFrontiers in endocrinology2025

The J-shaped relationship between serum osmolality and all-cause mortality in critically ill patients with myocardial infarction: a retrospective cohort study.

Long Gui, Heshan Cao, Min Zheng, Yu Pan, Chengdong Ning, Mingjin Cheng

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Long Gui *Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Heshan Cao *Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Min ZhengDepartment of Cardiothoracic Surgery, Lu 'an Hospital Affiliated to Anhui Medical University, Lu 'an, Anhui, China.
Yu PanDepartment of Cardiothoracic Surgery, Lu 'an Hospital Affiliated to Anhui Medical University, Lu 'an, Anhui, China.
Chengdong NingDepartment of Cardiothoracic Surgery, Lu 'an Hospital Affiliated to Anhui Medical University, Lu 'an, Anhui, China.
Mingjin ChengDepartment of Cardiothoracic Surgery, Lu 'an Hospital Affiliated to Anhui Medical University, Lu 'an, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serum osmolality (SOSM) is an indicator of hydration status and is associated with the prognosis of various cardiovascular diseases. This study investigated the association between SOSM and all-cause mortality in critically ill patients with myocardial infarction (MI). Methods: This retrospective cohort study utilized data from the Medical Information for Intensive Care-IV (MIMIC-IV) database, including critically ill patients with a primary diagnosis of MI. Patients were categorized into tertile groups based on the SOSM levels. Kaplan-Meier (K-M) survival analysis, multiple Cox regression models, restricted cubic spline (RCS) analysis, and threshold effect analysis were used to investigate the nonlinear relationship between all-cause mortality in critically ill patients with MI and SOSM. Results: A total of 5354 patients with MI were included. K-M survival analysis showed that the survival rate of the high SOSM group was significantly lower than that of the other groups, which was consistent with the results after IPTW correction (log-rank Conclusions: This study revealed a J-shaped relationship between SOSM and all-cause mortality in critically ill MI patients, suggesting its potential as a prognostic marker for risk stratification.

Indexed as

Critical IllnessMyocardial InfarctionAgedFemaleHumansMaleMiddle AgedOsmolar ConcentrationPrognosisRetrospective StudiesSurvival RateJ-shaped associationMIMIC-IVmortalitymyocardial infarctionserum osmolality

Identifiers

PMID40190402
PMCPMC11968384

What Socratic holds

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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.