The Value of Washers in Cannulated Screw Fixation of Femoral Neck Fractures
Bibliographic record
Abstract
BACKGROUND: Given the limited evidence to support the technical aspects of screw placement for treatment of femoral neck fractures, we conducted an observational study to evaluate demographic and radiographic variables associated with fixation failure. METHODS: Eligible patients with femoral neck fractures were treated with multiple cannulated screws across three academic centers during a 6-year period. The following variables were evaluated for their predictive value for fixation failure: age, gender, fracture type, presence of comminution, total number of screws, the absence of a washer, the screw configuration, reduction quality, the distance of the most inferior screw to the inferior neck, and screw alignment. Variables were evaluated separately and in a multivariable regression model. RESULTS: Eighty patients were included in the study. The overall failure rate was 30%. We identified four variables associated with fixation failure. These included the lack of washers (odds ratio [OR], 11.2; p = 0.03), imperfect quality of reduction (OR, 9.7; p < 0.01), age greater than 75 years (OR, 5.1; p = 0.04), and displaced versus undisplaced fracture type (OR, 3.8; p < 0.01). These four variables accounted for 43% of the variability in fixation failure (R(2) = 0.43). All other variables including the distance of the most inferior screw to the inferior/medial neck were found to be not significant. CONCLUSION: This study confirms previous findings in the literature that increased age, a displaced fracture type, and poor reduction increase the risk of fixation failure. Contradictory to current belief, there was no significant association between the distance of the inferior screw to the inferior/medial femoral neck cortex and fixation failure. A novel finding of the present study is that the use of washers significantly decreases the risk of fixation failure.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".