The treatment of femoral shaft fractures in children: a systematic overview and critical appraisal of the literature.
Bibliographic record
Abstract
OBJECTIVE: Through a critical systematic overview of the literature on the treatment of pediatric femoral shaft fractures to determine if any method of treatment can be recommended over others. DATA SOURCES: A MEDLINE search was performed for all cohort and randomized clinical trials for the years 1966 to 1996. STUDY SELECTION: Of 1217 identified articles, 15 cohort studies (where 2 or more treatments were compared in the same study) reported the treatment of children with femoral fractures. DATA EXTRACTION: Information was abstracted and articles rated for quality blind to author, institution and journal. DATA SYNTHESIS: Children having early application of a hip spica cast had an average hospital stay of 11 days (range from 5 to 29 days), average charges of $5784 (range from $590 to $11,800), average rates of limb-length discrepancy (greater than 2 cm) of 3% (range from 0 to 25%), angulatory malunion rates (greater than 10 degrees) of 8% (range from 0 to 19%), and rotational malunion rates (greater than 10 degrees) of 13% (range from 0 to 5%). The costs and malunion rates of early application of a hip spica cast were lower than for traction. Internal fixation (including intramedullary nails) had low angulatory malunion rates compared with early application of a hip spica cast but higher over-lengthening rates (greater than 2 cm) of 25% (range from 5% to 100%) and mean rotational malunion rates (greater than 10 degrees) of 25% (range from 11% to 32%). CONCLUSION: Early application of a hip spica cast had lower costs and malunion rates than traction.
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 | 0.012 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.012 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".