Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 202

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Risk factors for intensive care unit-acquired weakness: A systematic review and meta-analysis

Open access
Yang, Tao, Li, Zhiqiang, Jiang, Li, Wang, Yinhua, Xi, Xiuming·2018·Acta Neurologica Scandinavica

Abstract

Intensive care unit-acquired weakness (ICUAW) occurs frequently in the context of critical illness without alternative plausible cause and specific treatment options, and it is important to identify and summarize the independent risk factors for ICUAW. PubMed, Embase, Central, China Biological Medicine, China National Knowledge Infrastructure, VIP and Wanfang databases were searched from database inception until 10 July 2017. Prospective cohort studies on adult ICU patients who were diagnosed with ICUAW using either clinical or electrophysiological criteria were selected. Meta-analysis was performed using Stata version 12.0. The results were analysed using odds ratios (OR) and 95% confidence intervals (CI). Data were pooled using a random-effects model, and heterogeneity was assessed using the I2 statistic. Qualitative analysis and systematic review were used for risk factors that were deemed inappropriate to combine. Fourteen prospective cohort studies were included in this review. The meta-analysis showed that Acute Physiology and Chronic Health Evaluation II score (OR, 1.05; 95%CI, 1.01-1.10), neuromuscular blocking agents (OR, 2.03; 95%CI, 1.22-3.40) and aminoglycosides (OR, 2.27; 95%CI, 1.07-4.81) were found to be significantly associated with ICUAW. Other risk factors, including female, multiple organ failure, systemic inflammatory response syndrome, sepsis, electrolyte disturbances, hyperglycaemia, hyperosmolarity, high lactate level, duration of mechanical ventilation, parenteral nutrition and use of norepinephrine, were statistically significant on multivariable analysis in each single studies. This review provides a number of independent risk factors for ICUAW, which should be guided for early prediction and prevention of the disorder.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/ane.12964

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 202

Metadata

Authors
Yang, T., Li, Z., Jiang, L., Wang, Y., & Xi, X.
Venue
Acta Neurologica Scandinavica
Publisher
Wiley
Published
2018-05-29
Volume
138
Issue
2
Pages
104-114
ISSN
0001-6314 (ISSN-L)
OpenAlex
W2806967749
Cited by
202
References
10
FWCI
2.83
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.