The Role of Staging Laparoscopy in Resectable and Borderline Resectable Pancreatic Cancer: A Systematic Review and Meta-Analysis
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
AIM: The study aimed to determine the additional value of staging laparoscopy in patients with pancreatic cancer deemed potentially resectable based on computed tomography imaging. METHODS: A systematic literature search was performed using MEDLINE and the Cochrane Register of Controlled Trials (January 1995 to June 2017). Primary outcome measures were the overall yield and sensitivity to detect non-resectable disease. Quality of studies was assessed with the Newcastle-Ottawa Scale. RESULTS: From 156 records, 15 studies including 2,776 patients met the inclusion criteria. In 12 studies, reporting outcomes on 1,756 patients with resectable disease after standard imaging, 350 (20%, range 14-38%) cases of non-resectable cancer were detected with staging laparoscopy. In 3 studies on 242 patients with locally advanced disease after standard imaging, staging laparoscopy detected metastases in 86 patients (36%). The failure rate of staging laparoscopy to detect non-resectable disease was 5% (64 of 1,406). CONCLUSION: Staging laparoscopy reduces the non-therapeutic laparotomy rate, and in locally advanced or borderline resectable disease, staging laparoscopy could more accurately select patients for neoadjuvant protocols.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.015 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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