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Record W2345872467 · doi:10.12968/bjom.2016.24.5.317

Tongue-tie division. Is it worth it? A retrospective cohort study

2016· article· en· W2345872467 on OpenAlexaff
Serena Braccio, Zoe Chadderton, Angela Sherridan, Manasvi Upadhyaya

Bibliographic record

VenueBritish Journal of Midwifery · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsBreastfeedingMedicineCohortRetrospective cohort studyPediatricsCohort studyTongueTelephone interviewBreast feedingObstetricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: Breastfeeding is a complex process, influenced by various factors. Tongue tie may be an impediment to breastfeeding, so division of tongue tie (frenotomy) is routinely recommended to improve breastfeeding. Aims: This study aimed to assess the value of frenotomy based on its impact on breastfeeding-related problems. Methods: A 1-year retrospective cohort study was undertaken of all the patients referred to a London-based tongue-tie service with breastfeeding difficulties. A telephone survey was performed using a standardised questionnaire. Findings: The rate of exclusively breastfed babies increased from 36.7% before frenotomy to 53.8% at 48 hours post-procedure. All the breastfeeding-related problems significantly reduced by 48 hours post-procedure. There was no major bleeding, infection or ulceration reported. Of babies that had frenotomy, 3.2% underwent a second procedure. Conclusions: Frenotomy is a well-tolerated surgical procedure accompanied by very low complication rates. It significantly increases the exclusive breastfeeding rate in the short-term period and reduces breastfeeding-related problems.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.382
Teacher spread0.333 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations10
Published2016
Admission routes1
Has abstractyes

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