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Record W2996949495 · doi:10.1177/1479973119894855

Comparing the impact of different exercise interventions on fatigue in individuals with COPD: A systematic review and meta-analysis

2019· review· en· W2996949495 on OpenAlexaff
L. Li, Stacey J. Butler, Roger Goldstein, Dina Brooks

Bibliographic record

VenueChronic Respiratory Disease · 2019
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcMaster UniversityUniversity of TorontoWest Park Healthcare Centre
Fundersnot available
KeywordsMedicineMeta-analysisCOPDPhysical therapyRandomized controlled trialCochrane LibraryPsychological interventionStrictly standardized mean differenceQuality of life (healthcare)MEDLINESystematic reviewAerobic exerciseInternal medicine

Abstract

fetched live from OpenAlex

To systematically review randomized controlled trials that compared the effectiveness of different types of exercise on the symptom of fatigue in individuals with chronic obstructive pulmonary disease (COPD). MEDLINE, EMBASE, EMcare, PsychINFO, and Cochrane library were searched from inception to October 2018. Studies were included if individuals with COPD were randomized into two or more physical exercise interventions that reported fatigue. Of the 395 full-texts reviewed, 17 studies were included. Fifteen studies reported the impact of exercise on health-related quality of life with fatigue as a subdomain. Reduction in fatigue was observed following endurance, resistance, or a combination of both exercises. There was no significant difference between continuous and interval training ( n = 3 studies, pooled standardized mean difference (SMD) = −0.17, 95% CI = −0.47, 0.12, p = 0.25) or between endurance and resistance training ( n = 3 studies, SMD = −0.35, 95% CI = −0.72, 0.01, p = 0.07) on fatigue in people with COPD. Fatigue reduction is not usually a primary outcome of exercise interventions, but it is frequently a secondary domain. The type of exercise did not influence the impact of exercise on fatigue, which was reduced in endurance, resistance, or a combination of both exercises, enabling clinicians to personalize training to match targeted outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.618
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.007
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.212
GPT teacher head0.437
Teacher spread0.224 · 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 teacher head, not a consensus.

Study designSystematic review
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

Citations23
Published2019
Admission routes1
Has abstractyes

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