MétaCan
Menu
Back to cohort
Record W2051335985 · doi:10.1136/ebmh.7.3.70

DemTect effective in screening for mild cognitive impairment and mild dementia

2004· letter· en· W2051335985 on OpenAlexaff
Angela K. Troyer

Bibliographic record

VenueEvidence-Based Mental Health · 2004
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsPortfolioMandateBusinessSustainable developmentAsset (computer security)Socially responsible investingSustainabilityInvestment strategyInvestment (military)Actuarial scienceEconomicsFinanceEnvironmental economicsCorporate governanceComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Kalbe E, Kessler J, Calabrese P, et al . DemTect: a new, sensitive cognitive screening test to support the diagnosis of mild cognitive impairment and early dementia. Int J Geriatr Psychiatry 2004;19:136–43.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does the DemTect reliably detect mild dementia and mild cognitive impairment in older adults? ### ![Graphic][5]</img>Design: Prospective cohort study. ### ![Graphic][6]</img>Setting: Three centres in the UK; timeframe not stated. ### ![Graphic][7]</img>People: 121 people aged 45–92 years with possible mild to moderate Alzheimer’s disease (NINCDS-ARDRA criteria; Clinical Dementia Rating scale (CDR) 1 or 2). 97 people aged 45–92 years with mild cognitive impairment (Peterson criteria; CDR 0.5). 145 people aged 45–89 years with no cognitive impairment (CDR 0). Control group was divided into <60 years and ⩾60 years. Alzheimer’s disease group was divided into Mini-Mental State Examination (MMSE) ⩾21 and MMSE <21. ### ![Graphic][8]</img>Test: The DemTect includes … [1]: {openurl}?query=rft.jtitle%253DInternational%2Bjournal%2Bof%2Bgeriatric%2Bpsychiatry%26rft.stitle%253DInt%2BJ%2BGeriatr%2BPsychiatry%26rft.aulast%253DKalbe%26rft.auinit1%253DE.%26rft.volume%253D19%26rft.issue%253D2%26rft.spage%253D136%26rft.epage%253D143%26rft.atitle%253DDemTect%253A%2Ba%2Bnew%252C%2Bsensitive%2Bcognitive%2Bscreening%2Btest%2Bto%2Bsupport%2Bthe%2Bdiagnosis%2Bof%2Bmild%2Bcognitive%2Bimpairment%2Band%2Bearly%2Bdementia.%26rft_id%253Dinfo%253Adoi%252F10.1002%252Fgps.1042%26rft_id%253Dinfo%253Apmid%252F14758579%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=10.1002/gps.1042&link_type=DOI [3]: /lookup/external-ref?access_num=14758579&link_type=MED&atom=%2Febmental%2F7%2F3%2F70.atom [4]: /lookup/external-ref?access_num=000189096800005&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

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.145
GPT teacher head0.295
Teacher spread0.150 · 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.

Study designObservational
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

Citations13
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based Mental HealthSame topicEconomic and Environmental ValuationFrench-language works237,207