Characteristics, Etiological Factors, and Visual Outcomes of Pediatric Open Globe Injuries in Central Saudi Arabia: A 22-Year Retrospective Study
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".