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Effect of 12 weeks of interval training on skeletal muscle blood flow during single-leg knee extensor exercise in COPD: a nonrandomized controlled trial

2025· article· en· W4407899829 on OpenAlexfundno aff
Jacob Peter Hartmann, Stine Nymand, Helene Louise Hartmeyer, Camilla Koch Ryrsø, Amalie B. Andersen, Milan Mohammad, Iben Elmerdahl Rasmussen, Rie Skovly Thomsen, Cody Durrer, Ronan M. G. Berg, Ulrik Winning Iepsen

Bibliographic record

VenueJournal of Applied Physiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchBeckett-FondenRigshospitaletTrygFondenP. Carl Petersens FondHelsefonden
KeywordsMedicineSkeletal musclePhysical therapyRandomized controlled trialBlood flowCOPDPhysical medicine and rehabilitationInterval trainingPhysical exerciseCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Individuals with COPD exhibit lower blood flow to the exercising leg muscles, which may be considered part of the limb muscle dysfunction associated with the disease. A 12-wk high-intensity interval training (HIIT) program increased leg blood flow in patients with COPD during single-leg knee extensor exercise achieved by improving the vasodilatory response. HIIT also improved maximal oxygen uptake and exercise capacity while reducing symptom burden.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.250
Teacher spread0.242 · 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 designNon-randomized 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

Citations3
Published2025
Admission routes1
Has abstractyes

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