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Record W3128778315 · doi:10.1093/ptj/pzab057

Handgrip Strength in People With Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis

2021· review· en· W3128778315 on OpenAlexaff
Mackenzie M. Holden, Madeline Fyfe, Camille M. Poulin, Brianna Bethune, Chloe Church, Paula Hepburn, Vera Afreixo, Dina Brooks, Ana Oliveira

Bibliographic record

VenuePhysical Therapy · 2021
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsWest Park Healthcare CentreMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsMedicineCINAHLCOPDMeta-analysisPsycINFOMEDLINEPhysical therapyPulmonary diseaseQuality of life (healthcare)Internal medicineRandom effects modelPsychological intervention

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to systematically review the association between handgrip strength (HGS) and mortality, morbidity, and health-related quality of life (HRQL) in individuals with chronic obstructive pulmonary disease (COPD). METHODS: The following databases were used: CENTRAL, CINAHL, EMBASE, MEDLINE Ovid, SPORTDiscus, and PsycINFO. Studies published between 2000 and 2020 in English, Portuguese, or French that examined the association of HGS with mortality, morbidity, and HRQL in individuals with stable COPD were selected. Two authors independently extracted data and assessed the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework. The study effects were pooled using random effects meta-analysis models after assessing heterogeneity. The search generated 710 studies, and 18 were included in the review. Studies evaluated a total of 12,046 individuals with stable COPD (mean percent of the predicted forced expiratory volume in 1 second = 34%-80%) using over 10 diverse protocols for HGS measurement. Statistically significant, small, and negative relationships were found between HGS and mortality (r = -0.03; 95% CI = -0.05 to -0.02). Independent of the outcome measure used to assess morbidity, the estimate of the overall relationship was small to moderate and negative: Body Mass Index, Airflow Obstruction, Dyspnea, and Exercise Index Updated (r = -0.42; 95% CI = -0.61 to -0.03); exacerbations (r = -0.02; 95% CI = -0.04 to -0.00); and hospitalizations (r = -0.69; 95% CI = -1.70 to 0.32). Similarly, for HRQL, independent of the outcome measure, the estimate of the overall relationship was small to fair and negative: COPD Assessment Test (weighted r = -0.22; 95% CI = -0.32 to -0.12), Chronic Respiratory Disease Questionnaire domains (-0.24 < r < -0.14), EuroQol Five-Dimension Questionnaire (utility score) (r = -0.17; 95% CI = -0.26 to -0.07), EuroQol Five-Dimension Questionnaire domains (-0.32 < r < -0.06), and St George Respiratory Questionnaire total (r = -0.26; 95% CI = -0.33 to -0.17). The quality of the evidence ranged from low to very low across outcomes. CONCLUSION: Although heterogeneity was present among HGS measurement protocols, small to moderate associations were found, indicating that those with lower HGS have an increased likelihood of death, a higher risk of increased COPD morbidity (as assessed with Body Mass Index, Airflow Obstruction, Dyspnea and Exercise Capacity indexes), and poorer HRQL.

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)0.015
metaresearch head score (Gemma)0.035
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.035
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0220.029
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
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 head0.055
GPT teacher head0.363
Teacher spread0.308 · 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

Citations29
Published2021
Admission routes1
Has abstractyes

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