Evidence map›Paper›PMID 40309608›Full record

ArticleWorld journal of psychiatry2025

Relationship between inflammatory factors, lactic acid levels, acute skin failure, bad mood, and sleep quality.

Yu-Fei Liu, Wen Cong, Chang-Ming Zhou, Yang Yu, Xin-Jie Zhang

Abstract read
In one paragraph

Article in World journal of psychiatry, 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

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

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

5 authors.

Yu-Fei LiuDepartment of Emergency Critical Care Medicine, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning Province, China.
Wen CongDepartment of Psychiatry, Dalian Seventh People's Hospital (Dalian Mental Health Center), Dalian 116023, Liaoning Province, China.
Chang-Ming ZhouDepartment of Emergency Critical Care Medicine, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning Province, China.
Yang YuDepartment of Intensive Care Medicine, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning Province, China.
Xin-Jie ZhangDepartment of Intensive Care Medicine, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning Province, China. 17709870978@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe central link between septic shock and acute skin failure (ASF) is the inflammatory response, which occurs throughout disease progression and can lead to systemic inflammatory response syndrome. Patients often experience bad moods, sleep disorders, and other health issues. Despite recognizing these factors, no studies have examined the correlation between inflammatory factors, lactic acid levels, ASF, mood disturbances, and sleep quality in critically ill patients. We hypothesize that higher levels of inflammatory factors and lactic acid are associated with more severe ASF and poorer mood and sleep quality, which may inform clinical treatment for septic shock and ASF.

aimTo explore the relationship between inflammatory factors, lactic acid levels, the severity of ASF, bad mood, and sleep quality.

methodsThe retrospective study included 150 patients with septic shock from the Second Hospital of Dalian Medical University, categorized into ASF (

resultsThe ASF group had significantly higher levels of CRP (19.60 ± 4.10

conclusionPeripheral blood levels of IL-6, CRP, TNF-α, and lactic acid correlate positively with SMS, MEWS, SAS, SDS, and PSQI in critically ill patients with ASF.

Indexed as

Acute skin failureBad moodDegree of acute skin failureInflammatory factorsLactic acid levelSeptic shock

Identifiers

PMID40309608
PMCPMC12038656

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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.