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Record W2953187367 · doi:10.1136/bmjopen-2018-026075

Does enhanced physical rehabilitation following intensive care unit discharge improve outcomes in patients who received mechanical ventilation? A systematic review and meta-analysis

2019· review· en· W2953187367 on OpenAlexfundno aff
Shunsuke Taito, Kota Yamauchi, Yasushi Tsujimoto, Masahiro Banno, Hiraku Tsujimoto, Yuki Kataoka

Bibliographic record

VenueBMJ Open · 2019
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceDokuz Eylül ÜniversitesiChang Gung Medical FoundationUniversity of TorontoTaipei Medical UniversityChang Gung UniversityDirectorate for Biological SciencesQueen Margaret University
KeywordsMedicineMechanical ventilationRehabilitationIntensive care unitQuality of life (healthcare)Meta-analysisIntensive care medicinePhysical therapyVentilation (architecture)Emergency medicineNursingAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We aimed to determine whether enhanced physical rehabilitation following intensive care unit (ICU) discharge improves activities-of-daily-living function, quality of life (QOL) and mortality among patients who received mechanical ventilation in the ICU. DESIGN: Systematic review and meta-analysis using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. DATA SOURCES: MEDLINE, Embase, CENTRAL, PEDro and WHO International Clinical Trials Registry Platform searched through January 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included randomised controlled trials assessing the effect of post-ICU rehabilitation designed to either commence earlier and/or be more intensive than the protocol employed in the control group. Only adults who received mechanical ventilation for >24 hours were included. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers extracted data and assessed risk of bias. Standard mean differences (SMDs) with 95% CIs were calculated for QOL, and pooled risk ratios (RRs) with 95% CIs are provided for mortality. We assessed heterogeneity based on I² and the certainty of evidence based on the GRADE approach. RESULTS: Ten trials (enrolling 1110 patients) compared physical rehabilitation with usual care or no intervention after ICU discharge. Regarding QOL, the SMD (95% CI) between the intervention and control groups for the physical and mental component summary scores was 0.06 (-0.12 to 0.24) and -0.04 (-0.20 to 0.11), respectively. Rehabilitation did not significantly decrease long-term mortality (RR 1.05, 95% CI 0.66 to 1.66). The analysed trials did not report activities-of-daily-living data. The certainty of the evidence for QOL and mortality was moderate. CONCLUSIONS: Enhanced physical rehabilitation following ICU discharge may make little or no difference to QOL or mortality among patients who received mechanical ventilation in the ICU. Given the wide CIs, further studies are needed to confirm the efficacy of intensive post-ICU rehabilitation in selected populations. PROSPERO REGISTRATION NUMBER: CRD42017080532.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0260.036
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.444
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations58
Published2019
Admission routes1
Has abstractyes

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