Methodology and Interpretation of Radiographic Outcomes in Surgically Treated Pelvic Fractures
Bibliographic record
Abstract
OBJECTIVE: To identify and evaluate previously described methods for the measurement, and interpretation, of radiographic outcomes of operatively treated pelvic fractures. DATA SOURCES: A systematic review of the available literature was performed using all major databases (MEDLINE, EMBASE, MEDLINE IN-PROGRESS, and Cochrane Central) in August 2009. STUDY SELECTION: Inclusion criteria were case series, cohort studies, or clinical trials regarding orthopaedic treatment of acute traumatic pelvic ring fractures treated surgically in adults, with at least 12 weeks of radiographic follow-up. Exclusion criteria were case reports or case series of <10 patients, review articles, foreign language articles, and series where time frame of outcome measurement was not stated were excluded. DATA EXTRACTION: Modality, and timeline, of the radiographic assessment was recorded. Next, the description of the method of radiographic measurement technique used was scrutinized for standardization. The interpretation of the radiographic measurement was evaluated, and any grading scale used was recorded. The interpretation of the quality of the radiographic result as described by each author was recorded. Finally, a qualitative methodological analysis was performed. DATA SYNTHESIS: Number of standardized radiographic assessment techniques used (3 of 31) and interpretation scales used (13 of 31) were calculated. Nonweighted mean follow-up time (30.6 months) and overall positive radiographic outcomes were calculated (78.6% good or excellent). CONCLUSIONS: Reporting of radiographic outcomes in pelvic fractures has been done using largely unstandardized and universally untested measurement techniques. The interpretations of these measurements are also inconsistent and untested. Substantive future research is needed in this area.
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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 | 0.213 | 0.443 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.027 | 0.026 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.003 |
| 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".