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Record W4400652301 · doi:10.21693/1933-088x-23.1.21

Skeletal Muscle Structural and Functional Impairments as Important Peripheral Exercise Intolerance Determinants in Pulmonary Arterial Hypertension

2024· article· en· W4400652301 on OpenAlexaff
Simon Malenfant, François Potus, Sébastien Bonnet, Steeve Provencher

Bibliographic record

VenueAdvances in Pulmonary Hypertension · 2024
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsExercise intoleranceMedicineSkeletal musclePeripheralPulmonary hypertensionCardiologyLimitingEndothelial dysfunctionInternal medicinePhysical therapyHeart failure

Abstract

fetched live from OpenAlex

Reduced exercise tolerance stands as the foremost symptom, profoundly impacting the lives of those grappling with pulmonary arterial hypertension (PAH). This decline stems from both pulmonary and cardiac irregularities. Nonetheless, there is a burgeoning recognition that dysfunction within peripheral skeletal muscles (SKMs) significantly contributes to compromised exercise capacity. Consequently, the morphological and functional impairments of SKMs, coupled with microvascular loss, proinflammatory states, and oxidative disorders, play substantial roles in limiting exercise capacity in PAH. Regrettably, these facets have only undergone partial scrutiny. Thus, this review aims to spotlight the current body of literature concerning SKM dysfunctions in PAH and pinpoint knowledge gaps warranting further exploration to deepen our comprehension of SKM dysfunction and exercise intolerance in PAH.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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 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

Citations2
Published2024
Admission routes1
Has abstractyes

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