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Record W3087887260

Meta-analysis of factors influencing the progression of cough variant asthma (CVA)

2020· article· en· W3087887260 on OpenAlexaboutno aff
Qianhui Sun

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaMedicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective: To comprehensively evaluate the influencing factors of cough variant asthma \n(CVA) disease progression by meta-analysis, and to provide a reference for clinical work. \nMethods: comprehensive retrieve relevant assessment of cough variant asthma (CVA), the \ninfluence factors of disease progression of literature researchers a number of independent \nscreens and quality evaluation, literature into literature, data extraction, into the literature of \nquality evaluation of the Newcastle - Ottawa (Newcastle - Ottawa Scale, NOS) Scale, Metaanalysis \nusing RevMan 5.3 software, effect size for odds ratio (OR). Results: a total of 664 \npatients with CVA were included in the 7 English pieces of literature and 3 Chinese pieces \nof literature, among which 195 patients developed typical asthma.Family history of asthma \n[OR=14.12,95%Cl (7.79,25.59)],allergic condition [OR=5.70,95%Cl(2.02,16.13)],low FEV1/ \nFVC[MD=-4.44,95%Cl (-5.28, -2.91)] were risk factors for the development of cough variant \nasthma (CVA).Conclusion: family history of asthma, allergic constitution, and low FEV1/FVC \nare risk factors for the progression of cough variant asthma (CVA). However, the mechanism of \nCVA progression to typical asthma is still unclear, and whether airway hyperresponsiveness is \na risk factor is still controversial and needs to be further explored by clinicians and researchers

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)0.024
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.041
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0120.047
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.588
GPT teacher head0.621
Teacher spread0.034 · 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 designMeta-analysis
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

Citations0
Published2020
Admission routes1
Has abstractyes

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