The prevalence of strabismus and visual outcomes in children with hydrocephalus and a ventriculoperitoneal shunt: medical record review
Bibliographic record
Abstract
BACKGROUND: Many ophthalmological complications have been associated with hydrocephalus (HC), including ocular motility disorders, visual field defects, optic atrophy, and loss of visual acuity. No studies have investigated the prevalence of strabismus and visual outcomes of children with congenital HC after ventriculoperitoneal (VP) shunt in Saudi Arabia. OBJECTIVES: Estimate the frequency of strabismic children diagnosed with HC who underwent a VP shunt procedure. DESIGN: Medical record review SETTING: Tertiary care center PATIENTS AND METHODS: We reviewed the files of all pediatric patients diagnosed with hydrocephalus before the age of 2 years and treated with shunts during the period 2010 to 2020 at our institution. MAIN OUTCOME MEASURES: Strabismus types and ophthalmic assessment (visual state, outcomes, and ocular motility state). SAMPLE SIZE AND CHARACTERISTICS: 190 children; 98 (51.5%) males. RESULTS: Eighty-nine (46.8%) had congenital HC followed by intraventricular hemorrhage 36 (18.9%); 74 (38.9%) patients had regular follow-ups in ophthalmology. Sixty-five (34.2%) patients had no ophthalmic assessment or fundus examination records, while 63 (33.1%) were diagnosed with strabismus. At the initial assessment, 26 (13.6%) patients had exotropia (XT). At the final assessment, 7 (3.6%) patients had XT. The association between VP shunt and strabismus was statistically significant, (χ 2 =6.534, df=1, P <.01). CONCLUSION: More than one-third of children diagnosed with HC who had surgical treatment in a tertiary hospital did not have any records of ophthalmic assessment, which highlights the need to implement a specific ophthalmological examination protocol in patients with HC. Further studies are needed to analyze the association between VP shunt and strabismus. LIMITATIONS: Evaluating the ocular state and visual function before and after VP shunt was not possible. CONFLICT OF INTEREST: None.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".