Evidence map›Paper›PMID 35278006›Full record

ArticleInternational journal of geriatric psychiatry2022

Comparative validity of informant tools for assessing pre-stroke cognitive impairment.

Martin Taylor-Rowan, Lucy McGuire, Melanie Hafdi, Jonathan Evans, David J Stott, Kirsty Wetherall, Emma Elliott, Bogna Drozdowska, Terence J Quinn

Abstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Martin Taylor-RowanInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Lucy McGuireInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Melanie HafdiDepartment of Neurology, University of Amsterdam, Duivendrecht, UK.
Jonathan EvansSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
David J StottInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Kirsty WetherallRobertson Centre for Biostatistics, University of Glasgow, Glasgow, UK.
Emma ElliottInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-4323-9308
Bogna DrozdowskaInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Terence J QuinnInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesVarious informant-based questionnaires are used in clinical practice to screen for pre-stroke cognitive problems. However, there is no guidance on which tool should be preferred. We compared the validity of the two most commonly used informant-based tools.

methodsWe recruited consecutively admitted stroke patients. Patients' informants completed the Informant Questionnaire for Cognitive Decline in the Elderly Short Form (IQCODE-SF, 16-item) and Ascertain Dementia 8 (AD8). We assessed construct validity (accuracy) against a semi-structured clinical interview for dementia or mild cognitive impairment (MCI), describing test accuracy metrics and comparing area under ROC curves (AUROC). We described criterion validity by evaluating associations between test scores and neuroimaging markers of dementia and overall 'brain frailty'. Finally, we described prognostic validity comparing ROC curves for 18-month clinical outcomes of dementia, death, stroke, and disability.

resultsOne-hundred-thirty-seven patient-informant dyads were recruited. At usual clinical cut-points, the IQCODE-SF had comparable sensitivity to the AD8 (both = 92%) for pre-stroke dementia, but superior specificity (IQCODE-SF: 82% vs. AD8: 58%). Youden index suggested that the optimal AD8 threshold for diagnosis of dementia is ≥4. The IQCODE-SF demonstrated stronger associations with markers of generalised and medial-temporal lobe atrophy, neurovascular disease, and overall brain frailty. IQCODE-SF also demonstrated greater accuracy for predicting future dementia (IQCODE-SF AUROC = 0.903, 95% CI = 0.798-1.00; AD8 AUROC = 0.821, 95% CI = 0.664-0.977).

conclusionsBoth IQCODE-SF and AD8 are valid measures of pre-stroke dementia. Higher cut points for AD8 may improve performance in the acute stroke setting. Based on consistent superiority across a range of validity analyses, IQCODE-SF may be preferable to AD8 for pre-stroke dementia screening.

Indexed as

Cognitive DysfunctionDementiaFrailtyStrokeAgedHumansNeuropsychological TestsSensitivity and SpecificitySurveys and Questionnairesdementiainformantscreeningstroke

Identifiers

PMID35278006
PMCPMC9310907

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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.