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High-dose vitamin B supplements did not slow cognitive decline in mild-to-moderate Alzheimer disease

2009· letter· en· W2024741311 on OpenAlexaffabout
Sudeep S. Gill

Bibliographic record

VenueAnnals of Internal Medicine · 2009
Typeletter
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineCognitive declineDementiaRandomized controlled trialInternal medicinePediatricsGerontologyDisease

Abstract

fetched live from OpenAlex

ACP Journal Club17 February 2009High-dose vitamin B supplements did not slow cognitive decline in mild-to-moderate Alzheimer diseaseSudeep S. Gill, MD, MScSudeep S. Gill, MD, MScQueen's University, Kingston, Ontario, Canada (S.S.G.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-150-4-200902170-02007 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationAisen PS, Schneider LS, Sano M, et al. High-dose B vitamin supplementation and cognitive decline in Alzheimer disease:a randomized controlled trial. JAMA. 2008;300:1774-83. https://pubmed.ncbi.nlm.nih.gov/18854539Clinical Impact RatingsGIM/FP/GP: Mental Health: Geriatrics: Neurology: References1 Selhub J. The many facets of hyperhomocysteinemia: studies from the Framingham cohorts. J Nutr. 2006;136:1726-30S. [PMID: 16702347] Google Scholar2 Balk EM, Raman G, Tatsioni A, Chung M, Lau J, et al. Vitamin B6, B12, and folic acid supplementation and cognitive function: a systematic review of randomized trials. Arch Intern Med. 2007;167:21-30. [PMID: 17210874] Google Scholar3 Malouf R, Grimley Evans J. Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev. 2008;(4):CD004514. [PMID: 18843658] Google Scholar4 Clarke RJ, Bennett DA. B vitamins for prevention of cognitive decline: insufficient evidence to justify treatment [Editorial]. JAMA. 2008;300:1819-21. [PMID: 18854547] Google Scholar Author, Article, and Disclosure InformationAffiliations: Queen's University, Kingston, Ontario, Canada (S.S.G.)This article was published at Annals.org on 3 February 2009. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 17 February 2009Volume 150, Issue 4Page: JC2-7KeywordsActivities of daily livingAlzheimer diseaseDementiaElderlyFolic acidSafetySafety studiesSedatives ePublished: 17 February 2009 Issue Published: 17 February 2009 CopyrightCopyright © 2009 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.002

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.

Opus teacher head0.091
GPT teacher head0.405
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2009
Admission routes2
Has abstractyes

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