Neither vitamin E nor donepezil delays progression from amnestic mild cognitive impairment to Alzheimer’s disease in the long term
Bibliographic record
Abstract
Petersen RC, Thomas RG, Grundman M, et al . Vitamin E and donepezil for the treatment of mild cognitive impairment. N Engl J Med 2005;352:2379–88.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Do vitamin E or donepezil delay the clinical diagnosis of Alzheimer’s disease in people with the amnestic form of mild cognitive impairment? ### ![Graphic][5]</img>Design: Randomised controlled trial. ### ![Graphic][6]</img>Allocation: Unclear. ### ![Graphic][7]</img>Blinding: Double blind. ### ![Graphic][8]</img>Follow up period: Three years. ### ![Graphic][9]</img>Setting: Sixty nine sites in the United States and Canada; March 1999 to January 2004. ### ![Graphic][10]</img>Patients: 790 people aged 55–90 years, with amnestic mild cognitive impairment of a degenerative nature. Other inclusion criteria: Clinical Dementia Rating of 0.5; Mini-Mental State Examination score 24 to 30; impaired memory; and Logical Memory delayed recall score about 1.5 to 2 standard deviations below education adjusted norm. ### ![Graphic][11]</img>Intervention: Donepezil (10 mg daily) plus placebo vitamin E; vitamin E (2000 IU daily) plus placebo … [1]: {openurl}?query=rft.jtitle%253DN%2BEngl%2BJ%2BMed%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa050151%26rft_id%253Dinfo%253Apmid%252F15829527%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa050151&link_type=DOI [3]: /lookup/external-ref?access_num=15829527&link_type=MED&atom=%2Febmental%2F9%2F1%2F20.atom [4]: /lookup/external-ref?access_num=000229638900004&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif [11]: /embed/inline-graphic-7.gif
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".