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Record W4382515904 · doi:10.3399/bjgp23x733221

Tongue-tie and breastfeeding problems

2023· editorial· en· W4382515904 on OpenAlexaff
Laith Evans, Heidi Lawson, Pippa Oakeshott, Felicity Knights, Komal Chadha

Bibliographic record

VenueBritish Journal of General Practice · 2023
Typeeditorial
Languageen
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsLondon Health Sciences CentrePopulation Health Research Institute
Fundersnot available
KeywordsBreastfeedingMedicineTongueBreast feedingData scienceComputer sciencePediatricsPathology

Abstract

fetched live from OpenAlex

Tongue-tie (ankyloglossia) in babies is common and characterised by a short lingual frenulum that may restrict tongue tip mobility (Figure 1). 1 Reported incidence varies from around 4%-11%, and is thought to be increasing because of widening definitions of tongue-tie. 2 With over 680 000 live births in the UK each year, around 60 000 babies may have tongue-tie, some of whose mothers will have difficulty breastfeeding and seek support from a health professional. 2,3However, most infants (75%) with tongue-tie are asymptomatic and do not have feeding problems. 1n high-income countries, rates of tongue- tie operations (frenotomy/ frenulectomy -the surgical division of the lingual frenulum) have more than quadrupled over 10 years. 4,5Operation rates are higher in babies of first-time mothers who are more affluent and/or have private health insurance. 5Although frenotomy may reduce nipple pain in mothers, a Cochrane Review found no robust evidence that it improves long-term successful breastfeeding. 4,5 LACK OF CONSENSUS ON MANAGEMENT OF TONGUE-TIEThere is a lack of agreement about diagnosis and treatment of tongue-tie both

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)0.003
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.006
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 head0.038
GPT teacher head0.400
Teacher spread0.362 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations4
Published2023
Admission routes1
Has abstractyes

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