Eliminating rote postoperative radiographs for surgically managed pediatric supracondylar humerus fractures
Bibliographic record
Abstract
BACKGROUND: Use of postoperative radiographs after surgical management of supracondylar humerus (SCH) fractures is often based on rote practice rather than evidence. The purpose of this study was to determine the frequency with which 3-week postoperative radiographs at the time of pin removal altered management plans in pediatric SCH fractures that were intraoperatively stable after closed reduction and percutaneous pinning (CRPP). METHODS: We prospectively recruited pediatric patients with SCH fractures managed by CRPP at our institution from June 2020 until June 2022, and reviewed retrospective data on pediatric SCH fractures managed surgically at our institution between April 2008 and March 2015. Patients were assessed for post-CRPP fracture alignment and stability. For prospective patients, we asked clinicians to document their management decision at the 3-week follow-up visit before evaluating the postoperative radiographs. Our primary outcome was change in management because of radiographic findings. RESULTS: Overall, 1066 patients in the retrospective data and 446 prospectively recruited patients met the inclusion criteria. In the prospective group, radiographic findings altered management for 2 patients (0.4%). One patient had slow callus formation and 1 patient was identified as having cubitus varus. Altered management included prolonged immobilization or additional radiographic follow-up. Radiographic findings altered management in 0 (0%) of 175 type II fractures, in 2 (0.9%) of 221 type III fractures, and in 0 (0%) of 44 type IV fractures. We obtained similar findings from retrospective data. CONCLUSION: Rote use of 3-week postoperative radiographs after surgical management of SCH fractures that are intraoperatively stable has minimal utility. Eliminating rote postoperative radiographs for SCH fractures can decrease the time and financial burdens on families and health care systems without affecting patient outcomes.
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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 | 0.001 | 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 | 0.000 |
| 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 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".