Pancreatic Resections in Patients Aged 80 and Over: A Meta-Analysis and Systematic Review
Bibliographic record
Abstract
Context The incidence of pancreatic and peri-ampullary cancer is expected to increase significantly among the elderly population. Recently, several authors have published data on peri-operative outcomes of pancreatic resections among the elderly. Objective Primary endpoint was to assess the difference in term of post-operative mortality after pancreatic resections between patients <80 years old and patients ≥80 years old. Secondary end-points were: post-operative morbidity, incidence of postoperative pancreatic fistula, delayed gastric empty, bile leak, infections or sepsis, pulmonary and cardiac complications, reoperation rate and length of hospital stay. Methods Articles were extracted from MEDLINE, Cochrane Library, Scopus and ISI-Web of Science until April 24th, 2013. Articles were excluded when they were not in English; when the study population was divided in group of ages by using a cut-off different from 80 years; if they were case-reports, review, guidelines, abstracts and letters to editor. The quality of selected studies was assessed with the Newcastle-Ottawa scale. Odds ratios (ORs) were compared with Mantel-Haenzel method by using the statistical software Review Manager Version 5.2 (The Cochrane Collaboration, Software Update, Oxford, London). Results Initial search identified 1,518 reference articles, of these 19 relevant articles were selected and reviewed. Data were extracted from 9 studies (no. of cases 12,930) which met the inclusion criteria. Patients aged ≥80 years had a significantly higher postoperative mortality (OR=2.16, 95% CI: 1.61-2.89; P<0.001), postoperative morbidity (OR=1.66, 95% CI: 1.38-1.99; P<0.001), cardiac complications (OR=2.54, 95% CI: 1.66-3.88; P<0.001) and a longer hospital stay (OR=2.00; 95% CI: 1.86-2.14; P<0.001) than patients <80 years of age. No significant difference were demonstrated between younger and older patients in terms of postoperative pancreatic fistula, delayed gastric empty, bile leak, pulmonary complications, infection or sepsis and reoperation rate. Conclusions According to the results of this meta-analysis, pancreatic resections in patients aged ≥80 should be carefully planned because of an increased risk of morbidity, cardiac complications, longer hospital stay and, most of all, an increased risk of postoperative mortality.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.026 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".