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Record W4391231912 · doi:10.1136/bmj-2023-075306

Treatments for cough and common cold in children

2024· article· en· W4391231912 on OpenAlexaff
Peter J. Gill, Igho Onakpoya, Francine Buchanan, Kathryn A. Birnie

Bibliographic record

VenueBMJ · 2024
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCommon coldMedicineComputer scienceIntensive care medicinePediatricsData scienceImmunology

Abstract

fetched live from OpenAlex

This is comment on: Gill PJ, Onakpoya IJ, Buchanan F, Birnie KA, Van den Bruel A. Treatments for cough and common cold in children. BMJ. 2024 Jan 25;384:e075306. https://pubmed.ncbi.nlm.nih.gov/38272497 Gill et al. reviewed common cold treatments for children [1]. In Table 2 they refer to our Cochrane review on vitamin C and the common cold [2] and state the summary of evidence as “No consistent effect [of vitamin C] on the duration or severity of colds”. The topic is not discussed any further in the text section. In fact, in our Cochrane review we calculated that in placebo-controlled trials, regular >0.2 g/day vitamin C shortened the duration of colds in children by 14.2% (7.3 to 21%; P = 0.00005); Analysis 2.1.2 (Trials with children) [2]. Furthermore, our calculation is based on 14 comparisons, whereas Gill states in their table that the number of vitamin C studies in our review on was 7. Thus, in contrast to Gill’s statement, our meta-analysis found that there is a consistent beneficial effect of regular vitamin C administration on common cold duration in children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.386
Teacher spread0.354 · 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.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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