Evidence map›Paper›PMID 35611146›Full record

ArticleDementia and geriatric cognitive disorders extra

Discrepancy in Fluid and Crystallized Intelligence: An Early Cognitive Marker of Dementia from the LASI-DAD Cohort.

Swati Bajpai, Ashish Dutt Upadhayay, Joyita Banerjee, Avinash Chakrawarthy, Prashun Chatterjee, Jinkook Lee, Aparajit Ballav Dey

Open access · goldAbstract read
In one paragraph

Article in Dementia and geriatric cognitive disorders extra. 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
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Swati BajpaiDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ashish Dutt UpadhayayDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Joyita BanerjeeDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Avinash ChakrawarthyDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Prashun ChatterjeeDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
Jinkook LeeResearch Professor of Economics, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, USA.
Aparajit Ballav DeyDepartment of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive aging is a complex phenomenon, which comprises various cognitive skills, broadly categorized into fluid and crystallized intelligence. Crystallized intelligence (gc) tends to be maintained, as opposed to fluid intelligence (gf), which tends to decline rapidly with age. The association of the two with cognitive decline remains a matter of conjecture requiring further research. Aim: The aim of the study was to identify the variables of gc and gf from a population data of Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD) study and investigate its relationship with the onset of cognitive impairment using discrepancy analysis against neuropsychological tests. Methods: This analysis of data from LASI-DAD study was carried out on a sample of 3,223 participants. They were assessed on extensive thirteen cognitive tests and one subjective test of cognition. Standardized score was used for discrepancy analysis. Fluid ability minus crystallized ability was used to assess the cognitive impairment. Any statistical significance with the score difference >0.99 SD was defined as a presence of cognitive decline. Hindi Mental Status Examination (HMSE) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) were used as gold standard. Results: With increased discrepancy score, each cognitive parameter score declined which was found to be statistically significant. In HMSE (Normal = 25.81 ± 3.39; Impaired = 23.17 ± 3.54; Conclusion: Crystallized-fluid intelligence discrepancy analysis has a strong potential in predicting the onset of cognitive decline ahead of time, facilitating early intervention.

Indexed as

Cognitive impairmentCrystallized intelligenceDiscrepancy analysisFluid intelligenceLASI-DAD

Identifiers

PMID35611146
PMCPMC9082145
OpenAlexW4226052184

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.