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Record W7117887383 · doi:10.54393/pjhs.v6i12.3495

Pterygium Is a Pre-Malignant Condition: A Systematic Review

2025· article· W7117887383 on OpenAlexaboutno aff
Muhammad Saeed Zafar Khan, Abdul Majeed Malik, Chaudry Nasir Ahmed, Aijaz Zeeshan Khan Chachar, Amina Saeed, Gulbano Akram

Bibliographic record

VenuePakistan Journal of Health Sciences · 2025
Typearticle
Language
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPterygiumUltraviolet radiationEpidemiologyPublic healthPopulation

Abstract

fetched live from OpenAlex

In a hot and humid climate Pterygium is one of the common ocular surface disorders. The ultraviolet radiations have been implicated in the pathogenesis of this condition. Objectives: To investigate the association between pterygium and ocular surface squamous neoplasia (OSSN) and to determine the prevalence rates of both diseases in varied populations worldwide. Methods: The internet search in the selected databases resulted in 420 articles in the first round. The second round of screening of the titles excluded 26 articles ascribed to be duplicates. The third round of evaluation ended with the exclusion of 341 articles because they lacked an association between the pterygium and OSSN. In the final round, 29 studies were excluded according to the inclusion and exclusion criteria. Results: A total of 12492 pterygia samples were reported in 24 studies. Most of the studies had been conducted in hot and temperate climates. Out of these twenty-four, three studies were from areas of low UV Radiation like Canada, while six were from the USA, three were from South America, four studies were from Australia and New Zealand, three were from Europe, and one each was from South East Asia, the Middle East, and Far East Asia and Africa. Conclusions: There is a paucity of homogeneity in the reported data on the correlation of pterygium and OSSN. Such studies will delineate the relationship between patients with pterygium and suspected OSSN and will provide predictive information to care for public health issues in these countries.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.417
Teacher spread0.382 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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