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Management of congenital lacrimal (anlage) fistula

2014· article· en· W2017257285 on OpenAlexaff
Khalil M Al-Salem, Andrew Gibson, Peter J. Dolman

Bibliographic record

VenueBritish Journal of Ophthalmology · 2014
Typearticle
Languageen
FieldMedicine
TopicNasolacrimal Duct Obstruction Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineLacrimal ductLacrimal sacSurgeryNasolacrimal ductFistulaDacryocystorhinostomyNasolacrimal duct obstructionLacrimal apparatusDacryocystitisIntubation

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: To review management choices and outcomes for congenital lacrimal (anlage duct) fistulae performed by a single ophthalmologist over a 10-year interval. METHODS: All cases of congenital lacrimal fistulae with minimum follow-up of 1 year, seen and managed by the senior author (PJD) from 2000 to 2010, were retrieved from electronic medical records. Recorded data included demographic features, associated abnormalities of the lacrimal outflow apparatus and type of surgical intervention and outcome. RESULTS: 15 cases of lacrimal fistulae were identified. 67% were males, and mean age of presentation was 5 years. All presented with tearing from the eye or fistulous opening. Two patients had Down syndrome (13%). Mean follow-up was 7.3 years. While two cases required excision combined with endonasal dacryocystorhinostomy (DCR) or intubation, 9 of 11 (82%) operated cases were successfully treated with simple excision alone. Spontaneous resolution of symptoms occurred in 27% following successful treatment of concurrent nasolacrimal duct obstruction with lacrimal sac massage; in two of these cases, the fistulae were probed and found to have sealed spontaneously. The most common site of the fistula was at the inferior medial canthal area and was connected to the lacrimal sac or common canaliculus in all cases. CONCLUSIONS: Congenital lacrimal fistulae may be successfully treated with simple excision alone in most cases. Adjunctive DCR or intubation can be reserved for those identified to have lacrimal outflow tract abnormalities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.287
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations27
Published2014
Admission routes1
Has abstractyes

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