Evidence map›Paper›PMID 40601169›Full record

ReviewAnnals of intensive care2025

Biomarkers for intensive care unit-acquired weakness: a systematic review for prediction, diagnosis and prognosis.

Jiamei Song, Ting Deng, Qingmei Yu, Xun Luo, Yanmei Miao, Leiyu Xie, Yongming Mei, Peng Xie, Shaolin Chen

Abstract readReview
In one paragraph

Review in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Jiamei Song *Nursing Department, Affiliated Hospital of Zunyi Medical University, No. 149, Dalian Road, Huichuan District, Zunyi City, 563000, Guizhou Province, China.
Ting Deng *Nursing Department, Affiliated Hospital of Zunyi Medical University, No. 149, Dalian Road, Huichuan District, Zunyi City, 563000, Guizhou Province, China.
Qingmei YuNursing Department, Affiliated Hospital of Zunyi Medical University, No. 149, Dalian Road, Huichuan District, Zunyi City, 563000, Guizhou Province, China.
Xun LuoDepartment of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, No. 149, Dalian Road, Huichuan District, Zunyi, 563000, Guizhou Province, China.
Yanmei MiaoDepartment of Critical Care Medicine, the Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi City), Feng Huang Road 98, Huichuan District, Zunyi, 563000, Guizhou Province, China.
Leiyu XieDepartment of Critical Care Medicine, the Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi City), Feng Huang Road 98, Huichuan District, Zunyi, 563000, Guizhou Province, China.
Yongming MeiPublic Experimental Center of Clinical Medicine, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Huichuan District, Zunyi City, 563000, Guizhou Province, China.
Peng XieDepartment of Critical Care Medicine, Hengyang Medical School, University of South China, Hengyang, 421200, Hunan Province, China. 2023020221@usc.edu.cn.
Shaolin ChenNursing Department, Affiliated Hospital of Zunyi Medical University, No. 149, Dalian Road, Huichuan District, Zunyi City, 563000, Guizhou Province, China. 30363284@qq.com.ORCID http://orcid.org/0000-0003-1827-7641

Funding

2024 Zunyi City Joint Fund Project Zunshi Kehe HZ (2024) 201National Natural Science Foundation of China 82060359 and 82360382
6 · The paper itself

Abstract

backgroundIntensive care unit-acquired weakness (ICU-AW) is a common and debilitating complication in critically ill patients, significantly affecting both short- and long-term outcomes. The existing ICU-AW diagnostic methods are not widely accepted and have a narrow application window. Biomarkers offer potential for diagnosing, predicting, and prognosticating ICU-AW, but a comprehensive synthesis of the available evidence is still lacking.

methodsWe conducted a systematic search across PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang Database, China Science and Technology Journal Database (VIP Database), and China Biomedical Literature Database (SinoMed Database) from inception to January 23, 2025. Study quality was assessed using the revised Newcastle-Ottawa scale and the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Data extraction included basic characteristics of the included studies, name of biomarkers, objective, specimen types, sampling time, type of biomarker, ICU-AW diagnostic criteria, and outcomes.

resultsOut of 5,769 publications screened, 11 studies of moderate to high quality (scores ≥ 6) involving 1,176 critically ill patients were included. Ten biomarkers were identified and categorized into five mechanisms: muscle injury (myoglobin, N-titin, urinary titin), metabolic pathway (glucose transporter protein type-4), neurological injury (neurofilament light/heavy chain), stress response (growth differentiation factor-15), and inflammatory process (monocyte chemoattractant protein-1, NETs marker cfDNA, and miR-181a). Six biomarkers demonstrated strong predictive and diagnostic accuracy with AUC values exceeding 0.80. Notably, growth differentiation factor-15 exhibited excellent clinical utility across diagnostic, predictive, and prognostic applications (AUC ≥ 0.85). The remaining four biomarkers showed moderate performance, with AUC values ranging from 0.60 to 0.80.

conclusionWhile ten biomarkers exhibit potential for ICU-AW assessment, their clinical utility remains inconsistent. This highlights the need for large-scale, prospective validation studies and the incorporation of advanced technologies to refine existing biomarkers and identify novel candidates for ICU-AW prediction, diagnosis and management. DATE OF REGISTRATION: Registered 1 August 2024.

trial registrationPROSPERO ID: CRD42024574437.

Indexed as

BiomarkersDiagnosisICU-acquired weaknessPredictionPrognosisSystematic review

Identifiers

PMID40601169
PMCPMC12222590

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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.