Conversion in laparoscopic cholecystectomy after gastric resection: a 15-year review.
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
BACKGROUND: Gastrectomy or truncal vagotomy is known to increase the incidence of cholelithiasis. Many of these patients will become symptomatic, and the adhesions from their gastric resection may make laparoscopic cholecystectomy much more difficult. METHODS: We prospectively assessed the data for the 15-year cumulative laparoscopic cholecystectomy experience of 1 surgeon at a university teaching hospital with respect to conversion and postoperative outcomes, with particular attention to patients having had previous gastric resections. RESULTS: Patients with previous gastrectomies had similar operative times (mean 81.1, range 45-120 min), a higher conversion rate (64.2%) and a higher complication rate (35.7%) than those who had had other previous upper abdominal surgeries (mean 73.2, range 35-130 min, conversion 25% and complication 11.3%) and those without previous abdominal surgeries (mean 66.5, range 25-250 min, conversion 2.7% and complication 4.5%). CONCLUSION: Preoperative knowledge of the increased conversion rate and increased morbidity will inform surgical planning for both the surgeon and the patient.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it