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Record W3045704689 · doi:10.1002/ppul.24984

Pulmonary diffusing capacity measured by NO/CO transfer in Tunisian boys

2020· article· en· W3045704689 on OpenAlexaff
Rim Dridi, Nadia Dridi, Amira Zouita, Paulo de Tarso Müller, Zouhaïr Tabka, H. Guénard, Ismail Laher, Anthony C. Hackney, Hassane Zouhal

Bibliographic record

VenuePediatric Pulmonology · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiffusing capacityPulmonary Diffusing CapacityTransfer factorMedicineLinear regressionBody weightLung volumesCarbon monoxideVolume (thermodynamics)Reference valuesAnimal scienceCardiologyLungInternal medicineStatisticsMathematicsThermodynamicsChemistryLung functionPhysicsBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: The diffusing capacity, which measures gas-exchange, uses reference values based on data from American or European studies. There are currently no reference values of pulmonary diffusing capacity (TL) and its components, such as the conductance of the membrane (Dm) and capillary lung volume (Vc) for healthy North African children. OBJECTIVES: We determined the prediction equations-reference values for TL, Dm, Vc and the alveolar volume (VA) in healthy Tunisian boys. METHODS: Values of Vc, Dm, TL, and VA were measured by the NO/CO transfer method, using a single breath maneuver in 118 Tunisian boys (8-14 years old) at rest. We performed linear regression analysis of the pulmonary parameters and independent variables, such as height, weight, and age. RESULTS: was 0.76 × height (cm)-24.383; for Dm was 0.388 × height (cm)- 12.555 and for VA was 0.34 × height (cm)-3.951. Vc increased significantly with weight (P < .05) but not with age (P > .05). CONCLUSIONS: and TL for nitric oxide and its components in young Tunisian boys are similar to data from other countries. The prediction equations we developed can be extended to clinical practice in Tunisia and can be considered for use in neighboring North African countries.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.271
Teacher spread0.240 · 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 teacher head, not a consensus.

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

Citations10
Published2020
Admission routes1
Has abstractyes

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