Risk Factors for Neonatal Clavicular Fractures
Bibliographic record
Abstract
BACKGROUND: Neonatal clavicular fractures represent the most common fracture during delivery. We aimed to define risk factors associated with these fractures in a large population-based database. METHODS: Data were extracted from Clalit Health Services' electronic health records from 2000 to 2020. Newborns with clavicular fractures were compared with a healthy control group. The following parameters were compared-for the newborns: sex, birth weight, birth height, and head circumference; for the delivery process: assisted delivery, cesarean section, use of epidural, birth week, and number of fetuses; and for the mother: age at delivery, socioeconomic status, height, weight, and body mass index (BMI). RESULTS: We found a rate of 0.28% for neonatal clavicular fractures (5015 clavicular fractures/1 755 660 deliveries). Male gender and heavier birth weight were found to be significantly associated with clavicular fractures ( P < .001). Increased risk was also associated with lower socioeconomic status, baseline weight, and maternal BMI ( P < .001 for all). Assisted delivery increased the risk of clavicular fracture (OR = 2.274; 95% CI, 1.661-3.115; P < .0001), while cesarean section and use of epidural were found to be protective (OR = 0.149; 95% CI, 0.086-0.26; P < .0001; and OR = 0.687; 95% CI, 0.0531-0.89; P < .004, respectively). CONCLUSIONS: This study provides insight into the risk factors associated with neonatal clavicular fractures on the largest group of patients reported to date.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".