Is the Delay to Surgery for Isolated Hip Fracture Predictive of Outcome in Efficient Systems?
Bibliographic record
Abstract
BACKGROUND: Adverse outcomes for patients with isolated hip fracture have been documented when preoperative delay is longer than 48 hours. An efficient system will have the capacity to repair all hip fractures within 48 hours. We hypothesized that in an efficient system, there would be a medical justification for a delay greater than 48 hours. The purpose of this study was to identify the causes and outcome of delay for hip surgery in an efficient system. METHODS: All patients with isolated hip fracture admitted to a regional trauma center from April 1993 to March 2003 were reviewed. Demographics, presence of comorbidity, preoperative delay, complications, and mortality were collected. Univariate and multivariate analysis were carried out. RESULTS: The cohort included 977 patients. Overall mortality was 12.2%. Surgery was performed within 24 hours in 53% of cases and within 48 hours in 87% of cases. The presence of comorbidity partly explained longer (>48 hours) surgical delays. Multivariate analysis revealed that age greater than 65, male sex, and the presence of pulmonary and cardiac comorbid conditions or an active cancer but not surgical delay were associated with mortality and complications. However, surgical delay was associated with longer postsurgical hospital stay, independently of the presence of comorbidity or increasing age. CONCLUSIONS: Preoperative delay does not entail adverse outcomes when the surgery is delayed to allow for treatment of comorbid medical conditions. Preoperative delay is associated with a longer hospital stay. The presence of comorbidity only partly explains preoperative delay and adverse outcomes. A prospective study coding for the severity of comorbid conditions and the justification of the preoperative delay will be required to fully elucidate the link between delay and outcome.
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 | 0.001 | 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".