Prompt Referral in the Nonoperative Treatment of Obstetrical Brachial Plexus Injuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it