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Record W2299188616 · doi:10.1016/j.sjopt.2016.02.007

High frequency of squamous intraepithelial neoplasia in pterygium related to low ultraviolet light exposure

2016· article· en· W2299188616 on OpenAlexaff
Pablo Zoroquiaín, Samir Jabbour, Sultan Aldrees, Natália Villa, Vasco Bravo-Filho, Helena Luiza Douat Dietrich, Patrick Logan, Miguel N. Burnier

Bibliographic record

VenueSaudi Journal of Ophthalmology · 2016
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineDermatologyPterygiumDysplasiaPopulationPathologySurgery

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study was to determine the frequency of clinically unsuspected ocular surface squamous neoplasia (OSSN) in cases of biopsied pterygium (PT). METHODS: We reviewed 15,016 cases presented at the Henry C. Witelson Ocular Pathology Laboratory during the period 1993-2013. All cases with a clinical diagnosis of PT were included. Histopathological diagnoses were reviewed and demographic data were retrieved from histopathological request forms. All cases associated with OSSN were re-evaluated independently by two ocular pathologists. The classification of OSSN in PT cases was made based on the Armed Forces Institute of Pathology (AFIP) recommendations. RESULTS: Two hundred and fifteen cases were diagnosed clinically as PT (1.43%) and 54% were from male patients. The average age at diagnosis was 53.4 ± 15.5 years. OSSN was identified in five cases (2.33%), and four of these cases were from female patients (80%). The average age of patients with PT and OSSN was similar to PT patients without OSSN (P > 0.05). Cases with OSSN were diagnosed as conjunctival intraepithelial neoplasia (CIN) I (60%), CIN II (20%), and CIN III (20%). There was complete agreement between the two pathologists (100%). CONCLUSIONS: The relatively high rate of dysplasia in a low ultraviolet light index area challenges the main cause of this disease in our population, a hypothesis that should be evaluated in future studies. We suggest that all PT samples should be sent for histopathological evaluation even in areas with low ultraviolet light index.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.261
Teacher spread0.251 · 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 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

Citations24
Published2016
Admission routes1
Has abstractyes

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