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Record W2810739473 · doi:10.1097/cpt.0000000000000090

Evaluation of Limb Muscle Strength and Function in People With Chronic Obstructive Pulmonary Disease

2018· article· en· W2810739473 on OpenAlexaff
Sunita Mathur, Gail Dechman, Kim-Ly Bui, Pat G. Camp, Didier Saey

Bibliographic record

VenueCardiopulmonary Physical Therapy Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British ColumbiaInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité LavalDalhousie UniversityUniversity of Toronto
Fundersnot available
KeywordsCOPDIsometric exerciseMedicinePhysical medicine and rehabilitationMuscle strengthPulmonary diseasePhysical therapyDynamometerMuscle weaknessWeaknessSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Purpose: Muscle weakness is an observable consequence of limb muscle dysfunction in people with chronic obstructive pulmonary disease (COPD). The purpose of this review is to describe clinically applicable methods of muscle strength testing and functional tests that are associated with muscle strength in people with COPD. Summary of Key Points: Several tests and devices for evaluating muscle strength have been described in COPD. Isometric quadriceps strength testing, which is associated with clinical outcomes in COPD, can be reliably tested using fixed dynamometers or strain gauges in clinical and laboratory settings. Functional tests that are correlated with muscle strength in COPD include the Stair Climb Power Test, Sit-to-Stand test, and Timed Up and Go test. These tests are easy to conduct in the clinical setting and are relevant to daily activities; however, performance depends on factors such as balance and coordination in addition to leg muscle strength. Conclusions: Muscle strength assessment should be considered an integral part of the evaluation of people with COPD. Clinicians and researchers can select from a variety of valid and reliable tests to evaluate muscle strength based on their available resources and goals of the patient.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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 designObservational
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

Citations13
Published2018
Admission routes1
Has abstractyes

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Same venueCardiopulmonary Physical Therapy JournalSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207