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Record W4387338933 · doi:10.2147/opth.s430394

Characteristics, Etiological Factors, and Visual Outcomes of Pediatric Open Globe Injuries in Central Saudi Arabia: A 22-Year Retrospective Study

2023· article· en· W4387338933 on OpenAlexaff
Huda Al-Ghadeer, Rajiv Khandekar

Bibliographic record

VenueClinical ophthalmology · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineEtiologyVisual acuityPediatricsEye careRetrospective cohort studyOphthalmologyOptometrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Purpose: To discuss the characteristics, etiological factors, and visual outcomes of open globe injuries (OGIs) in children at a tertiary eye hospital in Riyadh, Central Saudi Arabia. Methods: This was a hospital-based cohort study conducted in 2021. Children aged ≤ 16 years with OGI based on the Birmingham Eye Trauma Terminology classification were included. The age, gender, type, cause of OGI, and vision were recorded, as well as uncorrected and best corrected visual acuity (UCVA and BCVA, respectively). There was a change in the UCVA and BCVA one year after management. BCVA following management was linked to a variety of factors. Results: There were 664 eyes with OGI. [median age 5.1, 461 (69.6%) boys]. UCVA at presentation was < 20/400 in 525 (79%) of eyes with OGI. Injuries were mainly due to metallic objects in 195 (29.4%), glass in 102 (15.4%), and fireworks in 62 (9.4%). The Change in visual impairment grade in UCVA and BCVA after management compared to the initial presentation was significant ( p < 0.001). Improvement of two lines of BCVA was noted in 345 (52%), no change in (<± 2 lines) 299 (45%) and deteriorated in 10 (1.5%). Conclusion: OGI was identified as a leading cause of unilateral blindness. Children with OGIs who receive standard treatment have better outcomes. Many children could not achieve normal, functional vision despite the intervention of skilled care providers. Keywords: child, injuries, ocular, pediatrics, trauma

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.423
Teacher spread0.344 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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