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Record W2156910748 · doi:10.25011/cim.v32i6.10666

Exercise capacity of children with pediatric lung disease

2009· article· en· W2156910748 on OpenAlexaffvenue
Gerald S. Zavorsky, J R Kryder, S. V. Jacob, Allan L. Coates, Geoffrey M. Davis, Larry C. Lands

Bibliographic record

VenueClinical and investigative medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsMcGill UniversityHospital for Sick ChildrenMontreal Children's HospitalUniversity of TorontoSickKids FoundationCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineLungLung diseaseDiseaseInternal medicinePhysical therapyPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Pulmonary function of children with cystic fibrosis (CF) and bronchopulmonary dysplasia (BPD) is similar at rest even though the mechanisms of injury differ. We sought to compare the peak exercise responses in children with BPD versus CF while controlling for pulmonary impairment, nutritional status, gender, age, height, and predicted forced expired volume in 1 second (approximately 73% of predicted). METHODS: Nine BPD children and 9 CF children underwent spirometry and a progressive exercise test to maximum on a cycle ergometer. RESULTS: There was no difference between groups in body mass percentile (CF:97 +/- 13%, BPD: 98 +/- 11%), peak power output (Wpeak) (CF:67 +/- 19 W, BPD:73 +/- 28 W), % predicted Wpeak (CF:83 +/- 28%, BPD:88 +/- 15%), peak oxygen uptake (VO2peak, CF: 38 +/- 7 ml/kg/min, BPD: 39 +/-6 ml/kg/min), or % predicted VO2peak (CF:99 +/- 16 %, BPD:96 +/- 27%). CONCLUSIONS: Children with mild pulmonary impairments are able to achieve a near normal peak power output and a normal VO2peak. Neither the aetiology nor the developmental onset of the process appears to be important influences on VO2peak or Wpeak.

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)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.360
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 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

Citations4
Published2009
Admission routes2
Has abstractyes

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