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Record W4392235504 · doi:10.1111/vop.13199

Nasolacrimal sac foreign body extraction using vitreoretinal forceps in 28 dogs

2024· article· en· W4392235504 on OpenAlexaboutno aff
Laura Jimenez‐Ramos, Ana Ripolles‐Garcia, Miriam Caro‐Suarez, Almudena Latre‐Moreno, F Laguna, Manuel Villagrasa

Bibliographic record

VenueVeterinary Ophthalmology · 2024
Typearticle
Languageen
FieldMedicine
TopicNasolacrimal Duct Obstruction Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsForcepsForeign bodyMedicineDacryocystitisLacrimal sacForeign BodiesSurgeryNasolacrimal ductDemographics

Abstract

fetched live from OpenAlex

PURPOSE: To describe a novel technique of nasolacrimal foreign body extraction in dogs by using a 20G vitreoretinal forceps introduced through the superior lacrimal punctum. METHODS: A retrospective review of the medical records of dogs with dacryocystitis due to nasolacrimal foreign bodies between the years 2001 and 2022 was performed. We recorded the breed, age, affected eye, type and number of foreign bodies, concomitant diseases, and the use of imaging techniques. All animals underwent the same procedure of a 20G vitreoretinal forceps insertion through the upper canaliculus reaching the lacrimal sac and retrograde extraction of the foreign bodies. RESULTS: A total of 28 dogs were included, 16 males and 12 females, with a mean (±SD) age of 4.7 (±3.2) years. The most common breeds were Wire-Haired Dachshund (4/28; 14.29%) and Labrador Retriever (3/28; 10.71%). Additional imaging techniques were used, such as orbital ultrasound in 13 cases (13/28; 46.43%) and computed tomography in one case (1/28; 3.57%). The most common type of foreign body retrieved was grass awns, although seeds and plant debris were also found. Dacryocystitis resolved after removal of the foreign body and appropriate medical therapy was ensured in all cases in the 1-month postprocedure follow-up. CONCLUSION: Extraction of nasolacrimal foreign bodies with vitreoretinal forceps is a novel, noninvasive, and easily applicable technique that, although not successful in all cases, can be attempted before performing more aggressive surgery.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.062
GPT teacher head0.385
Teacher spread0.323 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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