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Record W2045103215 · doi:10.1002/ppul.20512

Dalhousie dyspnea scales: Pictorial scales to measure dyspnea during induced bronchoconstriction

2006· article· en· W2045103215 on OpenAlexaffabout
Paolo T. Pianosi, Chloe Smith, Anthony Almudevar, Patrick J. McGrath

Bibliographic record

VenuePediatric Pulmonology · 2006
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBronchoconstrictionMedicineInhalationBronchodilatorAnesthesiaHistamineAsthmaInternal medicine

Abstract

fetched live from OpenAlex

The aim of this study was to validate our Dalhousie Dyspnea Scales in children referred for histamine bronchoprovocation challenge. Seventy-four children rated their dyspnea after each FEV1 measurement following inhalation of doubling histamine concentrations from 0.125 to 8.0 mg/ml by the standard tidal breathing method. Serial FEV1 and dyspnea rating using the Dalhousie Dyspnea Scales were recorded and Kendall's tau was computed for dyspnea rating versus fall in FEV1. Subjects were split into those with positive (ΔFEV1 ≥ 20% with PC20 ≤ 8 mg/ml) or negative histamine challenge test. During histamine inhalation, dyspnea ratings on each of the subscales rose as FEV1 fell across subjects, whether or not they were histamine-responsive (main effect), and then fell dramatically following relief of induced obstruction by bronchodilator. The Dalhousie Dyspnea Scales are useful and accurate tools to measure dyspnea due to bronchoconstriction in children. Pediatr Pulmonol. 2006; 41:1182–1187. © 2006 Wiley-Liss, Inc.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.241
Teacher spread0.230 · 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 designBench or experimental
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

Citations26
Published2006
Admission routes2
Has abstractyes

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