MétaCan
Menu
Back to cohort
Record W2069073225 · doi:10.1136/ebn.11.2.46

Review: delayed or immediate antibiotic prescriptions have similar clinical outcomes in respiratory infectionsCommentary

2008· letter· en· W2069073225 on OpenAlexaff
Shane Strickland

Bibliographic record

VenueEvidence-Based Nursing · 2008
Typeletter
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsLakehead University
Fundersnot available
KeywordsSore throatMedicineRespiratory tract infectionsMedical prescriptionCochrane LibraryUpper respiratory infectionsCommon coldMEDLINEMalaiseIntensive care medicineUpper respiratory tract infectionRandomized controlled trialOtitisPediatricsInternal medicineSurgeryRespiratory system

Abstract

fetched live from OpenAlex

G Spurling Dr G Spurling, Royal Brisbane Hospital, Brisbane, Queensland, Australia; geoffspurling@optusnet.com.au What is the relative effectiveness of delayed, immediate, or no antibiotic (AB) prescriptions for acute respiratory infections? ### Data sources: Medline (1966 to January 2007), EMBASE/Excerpta Medica (1990–2007), Cochrane Library (Issue 4, 2006), Current Contents–ISI Web of Knowledge (1998 to January 2007), and reference lists. ### Study selection and assessment: randomised controlled trials (RCTs) that compared prescriptions of delayed ABs (>48 h) with immediate ABs or no ABs for acute respiratory tract infections (sore throat, otitis media, or common cold) in patients of any age. 9 RCTs met the selection criteria and had quality scores ⩾6 out of 11 (high quality). ### Outcomes: included clinical outcomes (pain, fever, malaise, or cough), AB use, and patient satisfaction. Sore throat : delayed …

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)0.005
metaresearch head score (Gemma)0.062
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.089
GPT teacher head0.362
Teacher spread0.274 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based NursingSame topicAntibiotic Use and ResistanceFrench-language works237,207