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Record W2323852978 · doi:10.1136/eb-2012-100925

Zinc supplementation for probable serious bacterial infection in early infancy may reduce the need for antibiotic change

2012· letter· en· W2323852978 on OpenAlexaff
Charles P Larson

Bibliographic record

VenueEvidence-Based Medicine · 2012
Typeletter
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsBritish Columbia Children's Hospital
Fundersnot available
KeywordsMedicineWeb of sciencePlaceboInternal medicineZincPediatricsGastroenterologyChemistryPathology

Abstract

fetched live from OpenAlex

Commentary on: Bhatnagar S, Wadhwa N, Aneja S, et al. Zinc as adjunct treatment in infants aged between 7 and 120 days with probable serious bacterial infection: a randomised, double-blind, placebo-controlled trial. Lancet 2012; 379: 2072– 8.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] It has now been over 15 years since the publication of the landmark study by Sazawal et al 1 demonstrating the efficacy of zinc supplementation during an acute diarrheal episode in children under 5. Since then, dozens of clinical trials have been undertaken to further unravel the role of zinc supplementation to reduce under-5 morbidity and mortality. It is widely accepted that in zinc-deficient populations, zinc supplementation has both curative and preventive effects in the management of acute or chronic childhood diarrhoea with the potential to significantly reduce under-5 mortality.2 While systematic reviews have concluded zinc has no impact on childhood … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DBhatnagar%26rft.auinit1%253DS.%26rft.volume%253D379%26rft.issue%253D9831%26rft.spage%253D2072%26rft.epage%253D2078%26rft.atitle%253DZinc%2Bas%2Badjunct%2Btreatment%2Bin%2Binfants%2Baged%2Bbetween%2B7%2Band%2B120%2Bdays%2Bwith%2Bprobable%2Bserious%2Bbacterial%2Binfection%253A%2Ba%2Brandomised%252C%2Bdouble-blind%252C%2Bplacebo-controlled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252812%252960477-2%26rft_id%253Dinfo%253Apmid%252F22656335%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0140-6736(12)60477-2&link_type=DOI [3]: /lookup/external-ref?access_num=22656335&link_type=MED&atom=%2Febmed%2F18%2F3%2Fe22.atom [4]: /lookup/external-ref?access_num=000304759100032&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.005
metaresearch head score (Gemma)0.070
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0050.001
Research integrity0.0190.012
Insufficient payload (model declined to judge)0.0320.012

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 head0.083
GPT teacher head0.346
Teacher spread0.263 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Other design
Domainnot available
GenreEmpirical · Commentary

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
Published2012
Admission routes1
Has abstractyes

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