Are colorectal surgery patients willing to accept an increased risk of surgical site infection to avoid mechanical bowel preparation? Implications for future trial design
Bibliographic record
Abstract
AIM: Recent evidence has shown no difference in the risk of surgical site infection (SSI) with oral antibiotics alone (OA) and oral antibiotics in combination with mechanical bowel preparation (OA + MBP), suggesting that the use of MBP may be safely avoided. The aim of this work was to determine the absolute risk of SSI that patients would accept with OA relative to OA + MBP. METHOD: Standardized, in-person interviews were conducted using the threshold task with patients attending colorectal surgery clinics who had previously had MBP. Participants were asked which option they preferred when the absolute risk of SSI was 7% for both options. Next, their switch point was determined by increasing the risk of SSI with OA by 1% intervals until their preference changed from OA to OA + MBP. Median switch point scores were reported and represented the absolute increased risk of SSI that patients would accept with OA relative to OA + MBP. RESULTS: Fifty patients completed the interview. All participants chose OA over OA + MBP when the risk of SSI was 7% for both options. Switch points ranged from 8% to 25%, with a median of 10%, indicating that participants were willing to accept up to a 3% increase in absolute risk of developing a SSI with OA to avoid MBP. CONCLUSIONS: The results showed that patients are willing to accept an increased risk of up to 3% for SSI with OA relative to OA + MBP. Incorporating patient preferences into the planning of future trials has the potential to improve the uptake of trial results into clinical practice.
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 | 0.085 | 0.133 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".