Risk Factors for Term-Born Spastic Diplegic Cerebral Palsy: A Case-Control Study
Bibliographic record
Abstract
BACKGROUND: To identify if a predetermined set of potential risk factors are associated with spastic diplegic cerebral palsy (SDCP) in term-born children. METHODS: This is a case-control study with cases (n = 134) extracted from the Canadian Cerebral Palsy Registry (CCPR) and controls (n = 1950) from the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Our primary variable was the SDCP phenotype in term-born children. Possible risk factors were selected a priori and include extreme maternal age (<19 or >35 years), pregnancy complications, maternal disease, substance use, perinatal infection, mode of delivery, perinatal adversity (i.e., neonatal encephalopathy presumably on the basis of intrapartum hypoxia-ischemia), sex, and birth weight. Multivariable analyses were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Multivariable analysis revealed associations between term-born SDCP and pregnancy complications (OR = 4.73; 95% CI = 1.91 to 10.56), maternal disease (OR = 2.52; 95% CI = 1.57 to 3.93), substance use (OR = 3.11; 95% CI = 2.10 to 4.55), perinatal infection (OR = 2.72; 95% CI 1.32 to 5.10), Caesarean section (OR = 2.35; 95% CI = 1.62 to 3.40), and perinatal adversity (OR = 2.91; 95% CI = 1.94 to 4.50). Multiple regression analysis revealed associations between SDCP and pregnancy complications (OR = 3.28; 95% CI 1.20 to 8.15), maternal disease (OR = 2.52; 95% CI 1.50 to 4.12), substance use (OR = 3.59; 95% CI 2.37 to 5.40), perinatal infection (OR = 3.78, 95% CI 1.71 to 7.72), Caesarean section (OR = 2.72; 95% CI 1.82 to 4.03), and perinatal adversity (OR = 4.16; 95% CI 2.67 to 6.70). INTERPRETATION: Antenatal (pregnancy complications, maternal disease, substance use) and perinatal (infections, Caesarean section, and perinatal adversity) risk factors are associated with an increased risk of SDCP in term-born children, suggesting variable interactions between risk factors to provide a clinicopathologic framework that is different from SDCP observed in preterm-born children.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".