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Record W4401842607 · doi:10.1186/s12890-024-03215-2

Pulmonary rehabilitation with balance training for fall reduction in chronic obstructive pulmonary disease: a randomized controlled trial

2024· article· en· W4401842607 on OpenAlexafffund
Qiukui Hao, Dina Brooks, Cindy Ellerton, Roger Goldstein, Annemarie L. Lee, Jennifer Alison, Gail Dechman, Kimberley Haines, Samantha Harrison, Anne E. Holland, Alda Marques, Lissa Spencer, Michael K. Stickland, Elizabeth H. Skinner, Pat G. Camp, Jinhui Ma, Marla Beauchamp

Bibliographic record

VenueBMC Pulmonary Medicine · 2024
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsImpactUniversity of British ColumbiaUniversity of AlbertaCovenant HealthUniversity of TorontoDalhousie UniversityWest Park Healthcare CentreToronto Rehabilitation InstituteMcMaster University
FundersMinistry of Colleges and UniversitiesCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchNational Sanitarium AssociationReseau canadien de recherche respiratoireMcMaster University
KeywordsMedicineRandomized controlled trialCOPDPhysical therapyPulmonary rehabilitationIncidence (geometry)PopulationFall preventionRehabilitationBalance (ability)Rate ratioConfidence intervalPoison controlInternal medicineInjury preventionEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Available evidence suggests that adults with chronic obstructive pulmonary disease (COPD) performed substantially worse than healthy controls on many balance measures and balance training can improve the balance measures in this population. We conducted this study to determine the effects of incorporating balance training into pulmonary rehabilitation (PR) on the incidence of falls at 12 months follow-up in high fall risk adults with COPD. METHODS: We conducted a prospective international multi-center randomized controlled trial. Eligible participants were adults with COPD at a high risk of future falls and were randomly assigned (1:1) to the intervention or control group. The intervention included personalized balance training for a targeted total of 90 min per week. Both the intervention and control groups received usual PR (2-3 times per week for 8-12 weeks). The primary outcome was the incidence of falls at 12-month follow-up using monthly fall diary calendars. Negative binomial regression or recurrent events models were used to examine the effects of the intervention on fall events. Multiple imputations were performed to deal with missing values. RESULTS: Of 258 participants who were enrolled in the trial, 178 provided falls information (intervention group = 91, control group = 87) and were included in the main analysis. Forty-one participants (45%) experienced at least one fall event in the intervention group and 33 (38%) in the control group (p = 0.34). The mean incidence of falls at 12 months was similar between the two groups (128 versus 128 per 100 person-years; mean difference: 0.30, 95% CI: -0.76 to 1.36 per 100 person-years). The results are robust after multiple imputations for missing data (n = 67). CONCLUSIONS: PR incorporating balance training compared to PR alone did not reduce the incidence of falls over the 12-month period in high fall risk adults with COPD. TRIAL REGISTRATION: The study was registered with ClinicalTrials.gov (NCT02995681) on 14/12/2016.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.029
GPT teacher head0.355
Teacher spread0.326 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations6
Published2024
Admission routes2
Has abstractyes

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