Oral curcumin in elective abdominal aortic aneurysm repair: a multicentre randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Curcumin, a popular herbal supplement from the plant turmeric, has prevented ischemic reperfusion and toxin-induced injury in many animal studies and a single-centre randomized human trial. We sought to test whether perioperative oral curcumin (compared with placebo) affects the inflammatory response and risk of postrepair complications after elective abdominal aortic aneurysm repair in humans. METHODS: We conducted a parallel-group, randomized, placebo-controlled trial of patients from 10 hospitals in Canada who were scheduled to undergo elective repair of an unruptured abdominal aortic aneurysm (November 2011 to November 2014). Patients in the treatment group received perioperative oral curcumin (2000-mg doses 8 times over 4 d). Patients, health care providers and local research staff were unaware of the treatment assignment. The primary outcomes were median concentrations of 4 bio markers indicating injury and inflammation (postoperative urine interleukin-18 and perioperative rise in serum creatinine, plasma N-terminal pro–B-type natriuretic peptide and plasma high-sensitivity C-reactive protein). RESULTS: Baseline characteristics were similar in the 2 groups (606 patients overall; median age 76 yr). More than 85% of patients in each group took more than 80% of their scheduled capsules. Neither curcumin nor placebo significantly affected any of the 4 biomarkers (p > 0.05 for all comparisons). Regarding the secondary outcomes, there was a higher risk of acute kidney injury with curcumin than with placebo (17% v. 10%, p = 0.01), but no between-group difference in the median length of hospital stay (5 v. 5 days, p > 0.9) or the risk of clinical events (9% v. 9%, p = 0.9). INTERPRETATION: Curcumin had no beneficial effects when used in elective abdominal aortic aneurysm repair. These findings emphasize the importance of testing turmeric and curcumin before espousing their health benefits, as is currently done in the popular media. Trial registration: ClinicalTrials.gov, no. NCT01225094.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".