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Record W2076900309 · doi:10.1017/s1041610207004942

A consensus on defining and measuring treatment benefits in dementia

2007· article· en· W2076900309 on OpenAlexaff
David Ames, Henry Brodaty, Edmond Chiu, Cornelius Katona, Gill Livingston, Joel Sadavoy

Bibliographic record

VenueInternational Psychogeriatrics · 2007
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsDementiaStatement (logic)Relevance (law)PsychologyGerontologyMedicinePolitical sciencePsychiatryLawPathology

Abstract

fetched live from OpenAlex

This issue of International Psychogeriatrics is 96 pages thicker than usual, because it carries not only the International Psychogeriatric Association (IPA) Consensus Statement on Defining and Measuring Treatment Benefits in Dementia, but also a series of papers that were presented at the two-day conference devoted to the development of the consensus statement, which took place in the precincts of Canterbury Cathedral on 31 October and 1 November 2006. During the conference, the delegates (whose names are listed in an appendix to the consensus statement) heard presentations on what outcomes matter to people with dementia and their caregivers, how these can be measured and what they mean, cognitive change as an outcome, biological outcome measures, quality of life, neuropsychiatric symptoms (also known as behavioral and psychological symptoms of dementia (BPSD)), global measures of change, the relevance of different outcome measures to various cultures, activities of daily living, economic outcomes and the regulator perspective. These presentations have been refined into papers and are now published within these pages. In addition to 12 formal presentations on these topics, nine discussants led the conference in exploring the issues raised by the talks, and there was active and often heated debate on almost all the issues discussed. During the afternoon of 1 November agreement was achieved on several key points, which formed the basis for a draft consensus statement prepared the next day. This statement has been refined by a process of circulation among participants, whose suggestions have been incorporated into the document that is now published in this issue.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.038
GPT teacher head0.348
Teacher spread0.310 · 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 teacher head, 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
Published2007
Admission routes1
Has abstractyes

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