The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Early mobilization of critically ill patients in the intensive care unit: A systematic review and meta-analysis
Open accessAbstract
BACKGROUND: Physical therapy can prevent functional impairments and improve the quality of life of patients after hospital discharge. However, the effect of early mobilization on patients with a critical illness remains unclear. This study was performed to assess the evidence available regarding the effect of early mobilization on critically ill patients in the intensive care unit (ICU). METHODS: Electronic databases were searched from their inception to March 21, 2019. Randomized controlled trials (RCTs) comprising critically ill patients who received early mobilization were included. The methodological quality and risk of bias of each eligible trial were assessed using the Cochrane Collaboration tool. Data were extracted using a standard collection form each included study, and processed using the Mantel-Haenszel (M-H) or inverse-variance (I-V) test in the STATA v12.0 statistical software. RESULTS: A total of 1,898 records were screened. Twenty-three RCTs comprising 2,308 critically ill patients were ultimately included. Early mobilization decreased the incidence of ICU-acquired weakness (ICU-AW) at hospital discharge (three studies, 190 patients, relative risk (RR): 0.60, 95% confidence interval (CI) [0.40, 0.90]; p = 0.013, I2 = 0.0%), increased the number of patients who were able to stand (one study, 50 patients, 90% vs. 62%, p = 0.02), increased the number of ventilator-free days (six studies, 745 patients, standardized mean difference (SMD): 0.17, 95% CI [0.02, 0.31]; p = 0.023, I2 = 35.5%) during hospitalization, increased the distance the patient was able to walk unassisted (one study, 104 patients, 33.4 (0-91.4) meters vs. 0 (0-30.4) meters, p = 0.004) at hospital discharge, and increased the discharged-to-home rate (seven studies, 793 patients, RR: 1.16, 95% CI [1.00, 1.34]; p = 0.046). The mortality (28-day, ICU and hospital) and adverse event rates were moderately increased by early mobilization, but the differences were statistically non-significant. However, due to the substantial heterogeneity among the included studies, and the low quality of the evidence, the results of this study should be interpreted with caution. Publication bias was not identified. CONCLUSIONS: Early mobilization appears to decrease the incidence of ICU-AW, improve the functional capacity, and increase the number of ventilator-free days and the discharged-to-home rate for patients with a critical illness in the ICU setting.
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.
Integrity signals
Registry
Cites
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.
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
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817
Early exercise in critically ill patients enhances short-term functional recovery*
Burtin, C., Clerckx, B., Robbeets, C., Ferdinande, P., Langer, D., Troosters, T., Hermans, G., Decramer, M., & Gosselink, R. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181a38937 · Cited by 1,032
Piña, I. L., Apstein, C. S., Balady, G. J., Belardinelli, R., Chaitman, B. R., Duscha, B. D., Fletcher, B. J., Fleg, J. L., Myers, J. N., & Sullivan, M. J. (2003) · Circulation · doi:10.1161/01.cir.0000055013.92097.40 · Cited by 1,030
Clinical review: intensive care unit acquired weakness
Hermans, G., & Van den Berghe, G. (2015) · Critical Care · doi:10.1186/s13054-015-0993-7 · Cited by 792
Physical Complications in Acute Lung Injury Survivors: A Two-Year Longitudinal Prospective Study
Fan, E., Dowdy, D. W., Colantuoni, E., Mendez-Tellez, P. A., Sevransky, J. E., Shanholtz, C., Dennison Himmelfarb, C. R., Desai, S. V., Ciesla, N., Herridge, M. S., et al. (2014) · Critical Care Medicine · doi:10.1097/ccm.0000000000000040 · Cited by 615
Brummel, N. E., Girard, T. D., Ely, E. W., Pandharipande, P. P., Morandi, A., Hughes, C. G., Graves, A. J., Shintani, A., Murphy, E., Work, B., et al. (2014) · Intensive Care Medicine · doi:10.1007/s00134-013-3136-0 · Cited by 256
Cited by
Vanhorebeek, I., Latronico, N., & Van den Berghe, G. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05944-4 · Cited by 717
Illuminating the dark spaces of healthcare with ambient intelligence
Haque, A., Milstein, A., & Fei-Fei, L. (2020) · Nature · doi:10.1038/s41586-020-2669-y · Cited by 274
Ha, T. S., Oh, D. K., Lee, H.-J., Chang, Y., Jeong, I. S., Sim, Y. S., Hong, S.-K., Park, S., Suh, G. Y., & Park, S. Y. (2024) · Tuberculosis and Respiratory Diseases · doi:10.4046/trd.2024.0039 · Cited by 3
Metadata
- Authors
- Zhang, L., Hu, W., Cai, Z., Liu, J., Wu, J., Deng, Y., Yu, K., Chen, X., Zhu, L., Ma, J., & Qin, Y.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-10-03
- Volume
- 14
- Issue
- 10
- Pages
- e0223185
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2979173126
- Cited by
- 449
- References
- 7
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Early mobilization of critically ill patients in the intensive care unit: A systematic review and meta-analysis. https://app.cochat.ai/papers/10.1371/journal.pone.0223185
- The paper
- Zhang, L., Hu, W., Cai, Z., Liu, J., Wu, J., Deng, Y., Yu, K., Chen, X., Zhu, L., Ma, J., & Qin, Y. (2019). Early mobilization of critically ill patients in the intensive care unit: A systematic review and meta-analysis. PLOS ONE. https://doi.org/10.1371/journal.pone.0223185
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.