Neuro‐ophthalmological disorders in cerebral palsy: ophthalmological, oculomotor, and visual aspects
Bibliographic record
Abstract
AIM: Cerebral visual impairment (CVI) is a disorder caused by damage to the retrogeniculate visual pathways. Cerebral palsy (CP) and CVI share a common origin: 60 to 70% of children with CP also have CVI. We set out to describe visual dysfunction in children with CP. A further aim was to establish whether different types of CP are associated with different patterns of visual involvement. METHODS: A total of 129 patients (54 females, 75 males; mean age 4 y 6 mo, SD 3 y 5 mo; range 3 mo-15 y) with CP (51 with diplegia, 61 with tetraplegia, and 17 with hemiplegia; 62 [48%] of participants were able to walk) and CVI enrolled at the Centre of Child Neuro-ophthalmology (at the Department of Child Neurology and Psychiatry, IRCCS 'C. Mondino Institute of Neurology', University of Pavia) underwent an assessment protocol including neurological examination, developmental and/or cognitive assessment, neuro-ophthalmological evaluation including ophthalmological assessment, evaluation of visual acuity, contrast sensitivity, optokinetic nystagmus, visual field and stereopsis, and neuroradiological investigations. RESULTS: Visual dysfunction in diplegia was characterized mainly by refractive errors (75% of patients), strabismus (90%), abnormal saccadic movements (86%), and reduced visual acuity (82%). The participants with hemiplegia showed strabismus (71%) and refractive errors (88%); oculomotor involvement was less frequent (59%). This group had the largest percentage of patients with altered visual field (64%). Children with tetraplegia showed a severe neuro-ophthalmological profile, characterized by ocular abnormalities (98%), oculomotor dysfunction (100%), and reduced visual acuity (98%). INTERPRETATION: Neuro-ophthalmological disorders are one of the main symptoms in CP. Each clinical type of CP is associated with a distinct neuro-ophthalmological profile. Early and careful neuro-ophthalmological assessment of children with CP is essential for an accurate diagnosis and for personalized rehabilitation.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".