Evidence map›Paper›PMID 39733192›Full record

ArticleScientific reports2024

Impact of unintentional weight loss on 30-day mortality in intensive care unit sepsis patients: a retrospective cohort study.

Weide Lin, Bixia Lin, Junfan Chen, Renwei Li, Yaohua Yu, Shiqing Huang, Shurong Li, Jing Lin

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Weide LinDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Bixia LinDepartment of Ultrasonography, The First Hospital of Putian City, Nanmen West Road, Chengxiang District, Putian, China. EchoLin520@163.com.
Junfan ChenDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Renwei LiDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Yaohua YuDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Shiqing HuangDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Shurong LiDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Jing LinDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the relationship between unintentional weight loss and 30-day mortality in sepsis patients in the intensive care unit (ICU). A retrospective cohort study sepsis patients in the ICU was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving 1842 sepsis patients in the ICU. We utilized multivariate Cox regression analysis to evaluate the association between unintentional weight loss and the risk of 30-day mortality. In addition, we conducted stratified and interaction analyses to determine the consistency of this association across various demographic and clinical subgroups. Out of the 1842 patients, 19.2% (354) died within 30 days. The fully adjusted multivariate Cox regression model revealed that for every one-unit decrease in body weight, the risk of death increased by 58% (hazard ratio [HR] = 1.58; 95% confidence interval [CI] = 1.20-2.07). Unintentional weight loss was found to be positively correlated with 30-day mortality. Subgroup analysis yielded consistent results across all groups. Unintentional weight loss was positively associated with a greater risk of mortality in critically ill patients with sepsis in the ICU.

Indexed as

Intensive Care UnitsSepsisWeight LossAdultAgedCritical IllnessFemaleHospital MortalityHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk Factors30-day mortalityRetrospective cohort studySepsisUnintentional weight loss

Identifiers

PMID39733192
PMCPMC11682055

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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 OpenQuestion graph.