National Institute of Health and Care Excellence Guidelines for Displaced Intracapsular Hip Fractures: Examining Satisfaction With the Guidelines and Effects on Outcomes
Bibliographic record
Abstract
BACKGROUND: The objectives of the study were to: (1) evaluate satisfaction with the new 2023 National Institute of Health and Care Excellence (NICE) criteria for selecting total hip arthroplasty (THA) over hemiarthroplasty and surgical recommendations for treatment of displaced intracapsular hip fractures; (2) describe why THA is performed when NICE criteria are not met; and (3) determine whether satisfaction with these guidelines is associated with improved outcomes. METHODS: A retrospective chart review of patients who had a displaced intracapsular hip fracture treated with THA at a single tertiary academic center between 2010 and 2022 was performed. Preoperative patient characteristics were reviewed to determine if the indication for THA met NICE criteria. Operative details, perioperative complications, reoperation, and revision arthroplasty within 12 months of surgery were recorded. RESULTS: Data from 196 patients (63% women; age 67 ± 10 years) were used. There were 161 THAs (82.1%) that satisfied NICE criteria. The 2 most common reasons for performing a THA when NICE criteria were not met (n = 35) included preoperative radiographic osteoarthritis (Tönnis grade ≥ 2; 48.6%) and decreased patient age (< 65 years; 31.5%). Satisfaction with the NICE criteria was associated with fewer perioperative complications (0.6 versus 37.1%; P < .001), reoperations (0.6 versus 31.4%; P < .001), and revisions (0.6 versus 28.6%; P < .001). The most common reason for revision was periprosthetic fracture, possibly secondary to the use of uncemented femoral stems (171 of 196, 87.2%). CONCLUSIONS: Satisfaction with the new NICE criteria is associated with improved perioperative outcomes. Further studies are necessary to determine if preexisting hip osteoarthritis and younger age merit consideration in patient selection.
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 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 | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".