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Record W2512186853 · doi:10.3399/bjgp16x686749

A change in the NICE guidelines on antibiotic prophylaxis for dental procedures

2016· letter· en· W2512186853 on OpenAlexaff
Martin H. Thornhill, John B. Chambers, Mark Dayer, D.C. Shanson

Bibliographic record

VenueBritish Journal of General Practice · 2016
Typeletter
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsSt. Thomas Hospital
FundersGreat Ormond Street Hospital for Children
KeywordsNiceInfective endocarditisMedicineExcellenceAntibiotic prophylaxisDental careIntensive care medicineAntibioticsDentistrySurgeryLaw

Abstract

fetched live from OpenAlex

We would like to add an important footnote to the article on dental problems by Renton and Wilson in the August BJGP .1 You’d be forgiven for missing it, because it was announced without fanfare, but the National Institute for Health and Care Excellence (NICE) has added the word ‘routinely’2 to Recommendation 1.1.3: ‘Antibiotic prophylaxis against infective endocarditis is not recommended routinely for people undergoing dental procedures’ [authors’ emphasis]. This change occurred after a patient with a replacement aortic valve died from infective endocarditis (IE) developing after unprotected descaling, and followed approaches …

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)0.014
metaresearch head score (Gemma)0.096
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 score0.057
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.096
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0060.010
Open science0.0040.003
Research integrity0.0570.065
Insufficient payload (model declined to judge)0.0080.010

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 head0.064
GPT teacher head0.372
Teacher spread0.308 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

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