Prompt Referral in the Nonoperative Treatment of Obstetrical Brachial Plexus Injuries
Bibliographic record
Abstract
BACKGROUND: Prompt physical and occupational therapy is crucial in managing nonsurgical candidates with obstetrical brachial plexus injuries (OBPI). The objective of our study was to identify newborns suffering from nonoperative OBPI in need of a "fast-track" evaluation by a multidisciplinary team. METHODS: This is a retrospective review of patients with OBPI from June 1995 to June 2015. All nonsurgical candidates (Narakas class 1) were included in the study. The Gilbert score and the Medical Research Council grading system were used to measure shoulder and elbow function, respectively. The relationship between shoulder and elbow functional outcomes and time delay to consultation was studied using analysis of variance and Welch's tests. Various subgroups were studied based on OBPI risk factors: maternal diabetes, birth weight >4 kg, use of forceps, asphyxia, multiple comorbidities, and Apgar score at 1 and 5 minutes. RESULTS: A total of 168 patients were included in this study. Mean follow-up time was 313.8 weeks (minimum: 52; maximum: 1072; SD: 228.1). A total of 19 patients had an Apgar scores <7 at 5 minutes. Time delay between birth and the first consult to our clinic had an impact on shoulder outcome in the subgroup of newborns with Apgar scores <7 at 5 minutes. CONCLUSIONS: The subgroup of newborns with an Apgar score <7 at 5 minutes shows improved long-term shoulder function when promptly examined by an OBPI clinic. We recommend a "fast-track" referral for this time-sensitive population.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".