Risk Factors for Mortality in Patients With Cerebral Palsy: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Cerebral palsy (CP) is a developmental and physical disorder with different degrees of severity. Since CP manifests itself in early childhood, numerous research studies have concentrated on children with CP. Patients with CP encounter different severity of motor impairments attributed to the damage or disturbance to the fetal or infant developing brain, which begins in early childhood and persists through adulthood. Patients with CP are more prone to mortality compared to the general population. This systematic review and meta-analysis aimed to assess the risk factors that predict and influence mortality in patients with CP. Systematic search for studies assessing the risk factors for mortality in CP patients that were conducted from 2000 to 2023 in Google Scholar, PubMed, and Cochrane Library was performed. R-One Group Proportion was used for statistical analysis and Newcastle-Ottawa Quality Assessment Scale (NOS) for quality appraisal. Of the 1791 total database searches, nine studies were included. Based on the NOS tool for quality appraisal, seven studies were of moderate quality, and two studies were rated as of high quality. The risk factors included pneumonia and other respiratory infections, neurological disorders, circulatory diseases, gastrointestinal infections, and accidents. Pneumonia (OR = 0.40, 95% CI = 0.31 - 0.51), neurological disorders (OR = 0.11, 95% CI = 0.08 - 0.16), respiratory infections (OR = 0.36, 95% CI = 0.31 - 0.51), cardiovascular and circulatory diseases (OR = 0.11, 95% CI = 0.04 - 0.27), gastrointestinal and metabolic causes (OR = 0.12, 95% CI = 0.06 - 0.22), and accidents (OR = 0.05, 95% CI = 0.04 - 0.07) were the risk factors assessed. It was concluded that multiple factors predict the risk of mortality in patients with CP. Pneumonia and other respiratory infections are associated with a high risk of mortality. Cardiovascular and circulatory diseases, gastrointestinal and metabolic disorders, and accidents are strongly linked to mortality in CP patients.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.032 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".