Methodology and Interpretation of Radiographic Outcomes in Surgically Treated Pelvic Fractures
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
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.001 |
| 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