Does the Administration of Curcumin, Compared to Placebo, Change Cognitive Function in Adults Older than 40?
Bibliographic record
Abstract
OBJECTIVE: The objective of this selective EBM review is to determine whether or not the use of curcumin, versus a placebo, is effective in changing cognitive function. STUDY DESIGN: Review of 3 randomized control trials with blinding in English from 2008 to present. DATA SOURCES: Articles were selected from Cochrane and PubMed databases based on relevance to the selected research question and patient-centered outcomes. OUTCOME(S) MEASURED: The outcome measured is cognitive change, evaluated by mean score changes in the Mini Mental Status Examination (MMSE) or the Montreal Cognitive Assessment (MoCA). RESULTS: Two of the studies demonstrated no change in cognitive function measured with the MMSE (Ringman JM, Frautschy SA, Teng E, et al. Alzheimers Res Ther. 2012;4(5):43. doi: 10.1186/alzrt146. and Baum, L, Lam CW, Cheung SK, et al. J Clin Psychopharmocol. 2008;28(1):110-113. doi: 10.1097/jcp0b013e318160862c), while the third article also did not demonstrate a change in cognitive function, as measured by the MoCA (Rainey-Smith SR, Brown BM, Sohrabi HR, et al. Br J Nutr. 2016;115(12):2106-2113. doi: 10.1017/S0007114516001203). CONCLUSIONS: The studies are unable to demonstrate that curcumin is more effective than placebo in preventing cognitive changes.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".