MétaCan
Menu
Back to cohort
Record W1998230975 · doi:10.1159/000192822

Diaphragmatic Contribution to Ventilation in Patients with Ankylosing Spondylitis

2009· article· en· W1998230975 on OpenAlexaff
W. T. Josenhans, C.S. Wang, G Josenhans, J. F. L. Woodbury

Bibliographic record

VenueRespiration · 2009
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineAnkylosing spondylitisSupine positionDiaphragmatic breathingPulmonary function testingLung volumesRib cageVentilation (architecture)Tidal volumeAnesthesiaExpirationRespiratory systemThorax (insect anatomy)SurgeryInternal medicineLungAnatomy

Abstract

fetched live from OpenAlex

Part I reports pulmonary function and clinical measurements of 222 patients with ankylosing spondylitis, before and after physical therapy, to quantify thoracic impairment and to evaluate therapeutic effect. Vital capacity and forced expiratory volume remained virtually unchanged; cervical extensibility, lumbar flexibility, and chest expansion improved significantly. Part II reports findings in 25 patients and 25 age-matched normal subjects. The linear momentum of breathing was measured, from which the respiratory muscle balance (rib-cage vs. abdominal breathing) was derived. During normal breathing in supine position the mean diaphragmatic contribution to a tidal volume was 84.8 ± 3.3% SE in the patients and 68.4 ± 1.5% in the normal subjects. In 3 patients with severe ankylosis of cervical and thoracic vertebrae there was paradoxical movement of the chest, resulting in a diaphragmatic contribution of > 100%. An understanding of respiratory muscle function is essential to the formulation of rational physical therapy for patients with such conditions.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueRespirationSame topicRespiratory Support and MechanismsFrench-language works237,207