Evidence map›Paper›PMID 34101792›Full record

ArticleThe journal of prevention of Alzheimer's disease

Development, Validation and Field Evaluation of the Singapore Longitudinal Ageing Study (SLAS) Risk Index for Prediction of Mild Cognitive Impairment and Dementia.

T P Ng, T S Lee, W S Lim, M S Chong, P Yap, C Y Cheong, K B Yap, I Rawtaer, T M Liew, Q Gao and 4 more

Open access · diamondAbstract readValidation Study
In one paragraph

Article in The journal of prevention of Alzheimer's disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 1 country.

T P NgA/P Tze Pin Ng, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Level 9, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Fax: 65-67772191, Email: pcmngtp@nus.edu.sg.
T S Lee
W S Lim
M S Chong
P Yap
C Y Cheong
K B Yap
I Rawtaer
T M Liew
Q Gao
X Gwee
M P E Ng
S O Nicholas
S L Wee
Geriatric Education and Research Institute · SGKhoo Teck Puat Hospital · SGNational University Health System · SGDuke-NUS Medical School · SGNational University of Singapore · SGNg Teng Fong General Hospital · SGSengkang General Hospital · SGSingapore General Hospital · SGTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMild cognitive impairment (MCI) is a critical pre-dementia target for preventive interventions. There are few brief screening tools based on self-reported personal lifestyle and health-related information for predicting MCI that have been validated for their generalizability and utility in primary care and community settings.

objectiveTo develop and validate a MCI risk prediction index, and evaluate its field application in a pilot community intervention trial project.

designTwo independent population-based cohorts in the Singapore Longitudinal Ageing Study (SLAS). We used SLAS1 as a development cohort to construct the risk assessment instrument, and SLA2 as a validation cohort to verify its generalizability.

settingcommunity-based screening and lifestyle intervention Participants: (1) SLAS1 cognitively normal (CN) aged ≥55 years with average 3 years (N=1601); (2) SLAS2 cohort (N=3051) with average 4 years of follow up. (3) 437 participants in a pilot community intervention project. MEASUREMENTS: The risk index indicators included age, female sex, years of schooling, hearing loss, depression, life satisfaction, number of cardio-metabolic risk factors (wide waist circumference, pre-diabetes or diabetes, hypertension, dyslipidemia). Weighted summed scores predicted probabilities of MCI or dementia. A self-administered questionnaire field version of the risk index was deployed in the pilot community project and evaluated using pre-intervention baseline cognitive function of participants.

resultsRisk scores were associated with increasing probabilities of progression to MCI-or-dementia in the development cohort (AUC=0.73) and with increased prevalence and incidence of MCI-or-dementia in the validation cohort (AUC=0.74). The field questionnaire risk index identified high risk individuals with strong correlation with RBANS cognitive scores in the community program (p<0.001).

conclusionsThe SLAS risk index is accurate and replicable in predicting MCI, and is applicable in community interventions for dementia prevention.

Indexed as

Cognitive DysfunctionPredictive Value of TestsRisk AssessmentSurveys and QuestionnairesAgedAgingCardiometabolic Risk FactorsCohort StudiesFemaleHearing LossHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsPrevalencecardiovascular risk factorsdementiadiabetesmetabolic syndromeMild cognitive impairment

Identifiers

PMID34101792
PMCPMC12280715
OpenAlexW3157998364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.