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Record W2122839188 · doi:10.1136/ebn.11.3.78

Review: antibiotics are only slightly more effective than placebo for clinically diagnosed acute rhinosinusitis in adultsCommentary

2008· letter· en· W2122839188 on OpenAlexaff
Ruth Martin‐Misener

Bibliographic record

VenueEvidence-Based Nursing · 2008
Typeletter
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicinePlaceboAntibioticsInternal medicineRandomized controlled trialMeta-analysisClinical trialMEDLINESinusitisPediatricsSurgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

J Young Dr J Young, University Hospital Basel, Basel, Switzerland; jyoung@uhbs.ch Are antibiotics effective for treatment of adults with clinically diagnosed acute rhinosinusitis? Are there any signs or symptoms that identify patients most likely to benefit from antibiotics? Studies selected compared an antibiotic with placebo in adults with clinical signs and symptoms of acute rhinosinusitis. Studies involving diagnosis by imaging, laboratory tests, or bacterial culture were excluded. Outcome was proportion of patients cured. Medline, EMBASE/Excerpta Medica, Cochrane Central Register of Controlled Trials, and reference lists were searched for randomised controlled trials (RCTs). 10 RCTs providing 11 comparisons (n = 2782, median age 35 y [adolescents were included in 6 RCTs]) met the selection criteria. All trials were double-blinded; loss to follow-up was <4% in all but 2 trials and 3.6% overall. Duration …

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)0.006
metaresearch head score (Gemma)0.036
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.037
GPT teacher head0.359
Teacher spread0.322 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2008
Admission routes1
Has abstractyes

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