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The Importance of Measuring Executive Function When Studying the Effects of Cognition-Enhancing Agents

2008· article· en· W1993276133 on OpenAlexaffabout
Parminder Raina, Pasqualina Santaguida, Christopher Patterson

Bibliographic record

VenueAnnals of Internal Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCognitionPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Letters2 September 2008The Importance of Measuring Executive Function When Studying the Effects of Cognition-Enhancing AgentsParminder Raina, PhD, Pasqualina L. Santaguida, PhD, and Christopher Patterson, MDParminder Raina, PhDFrom McMaster University, Hamilton L8S 4M1, Ontario, Canada.Search for more papers by this author, Pasqualina L. Santaguida, PhDFrom McMaster University, Hamilton L8S 4M1, Ontario, Canada.Search for more papers by this author, and Christopher Patterson, MDFrom McMaster University, Hamilton L8S 4M1, Ontario, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-149-5-200809020-00017 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We thank Dr. Rockwood for his thoughtful and perceptive response to our review. We completely agree that aggregate scores on instruments that do not measure executive function may fail to capture useful improvements in individuals receiving cholinesterase inhibitors or other cognition-enhancing agents. Of the many attempts to isolate meaningful individual responses to treatment, goal attainment scaling is among the most sensitive and robust. Although “listening to patients” is not always a means of determining outcome and is rarely quantified in as rigorous a manner as advocated by Dr. Rockwood, we share his enthusiasm for it, the most basic ...References1. Rockwood K, Fay S, Song X, MacKnight C, Gorman M; Video-Imaging Synthesis of Treating Alzheimer's Disease (VISTA) Investigators. Attainment of treatment goals by people with Alzheimer's disease receiving galantamine: a randomized controlled trial. CMAJ. 2006;174:1099-105. [PMID: 16554498] CrossrefMedlineGoogle Scholar2. Rockwood K, Fay S, Jarrett P, Asp E. Effect of galantamine on verbal repetition in AD: a secondary analysis of the VISTA trial. Neurology. 2007;68:1116-21. [PMID: 17404193] CrossrefMedlineGoogle Scholar3. Raskind MA, Peskind ER, Wessel T, Yuan W. Galantamine in AD: A 6-month randomized, placebo-controlled trial with a 6-month extension. The Galantamine USA-1 Study Group. Neurology. 2000;54:2261-8. [PMID: 10881250] CrossrefMedlineGoogle Scholar4. Brodaty H, Corey-Bloom J, Potocnik FC, Truyen L, Gold M, Damaraju CR. Galantamine prolonged-release formulation in the treatment of mild to moderate Alzheimer's disease. Dement Geriatr Cogn Disord. 2005;20:120-32. [PMID: 15990426] CrossrefMedlineGoogle Scholar5. Bullock R, Erkinjuntti T, Lilienfeld S; GAL-INT-6 Study Group. Management of patients with Alzheimer's disease plus cerebrovascular disease: 12-month treatment with galantamine. Dement Geriatr Cogn Disord. 2004;17:29-34. [PMID: 14560062] CrossrefMedlineGoogle Scholar6. Tariot PN, Solomon PR, Morris JC, Kershaw P, Lilienfeld S, Ding C. A 5-month, randomized, placebo-controlled trial of galantamine in AD. The Galantamine USA-10 Study Group. Neurology. 2000;54:2269-76. [PMID: 10881251] CrossrefMedlineGoogle Scholar7. Wilcock GK, Lilienfeld S, Gaens E. Efficacy and safety of galantamine in patients with mild to moderate Alzheimer's disease: multicentre randomised controlled trial. Galantamine International-1 Study Group. BMJ. 2000;321:1445-9. [PMID: 11110737] CrossrefMedlineGoogle Scholar8. Wilkinson D, Murray J. Galantamine: a randomized, double-blind, dose comparison in patients with Alzheimer's disease. Int J Geriatr Psychiatry. 2001;16:852-7. [PMID: 11571763] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From McMaster University, Hamilton L8S 4M1, Ontario, Canada.Disclosures:Honoraria: P. Santaguida (American College of Physicians). PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoEffectiveness of Cholinesterase Inhibitors and Memantine for Treating Dementia: Evidence Review for a Clinical Practice Guideline Parminder Raina , Pasqualina Santaguida , Afisi Ismaila , Christopher Patterson , David Cowan , Mitchell Levine , Lynda Booker , and Mark Oremus The Importance of Measuring Executive Function When Studying the Effects of Cognition-Enhancing Agents Kenneth Rockwood Metrics Cited ByShould We Listen to People Affected by Dementia? 2 September 2008Volume 149, Issue 5Page: 359-360KeywordsAlzheimer diseaseCholinesterase inhibitorsConflicts of interestLibrariesPatient advocacy ePublished: 2 September 2008 Issue Published: 2 September 2008 CopyrightCopyright © 2008 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)0.063
metaresearch head score (Gemma)0.163
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.163
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.096
GPT teacher head0.339
Teacher spread0.243 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2008
Admission routes2
Has abstractyes

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