Evidence map›Paper›PMID 34911821›Full record

ArticleLupus science & medicine2021

Evaluation of the Montreal Cognitive Assessment as a screening tool for cognitive dysfunction in SLE.

Sudha Raghunath, Yifat Glikmann-Johnston, Eric Morand, Julie C Stout, Alberta Hoi

Open access · goldAbstract read
In one paragraph

Article in Lupus science & medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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, 16 citations in OpenAlex.

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  9. Cognitive dysfunction in pediatric systemic lupus erythematosus: current knowledge and future directions.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2024
    Review
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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

5 authors at 2 institutions in 1 country.

Sudha RaghunathCentre for Inflammatory Disease, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia sudha.raghunath@monash.edu.ORCID 0000-0002-3062-7328
Yifat Glikmann-JohnstonTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
Eric MorandCentre for Inflammatory Disease, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-9507-3338
Julie C StoutTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
Alberta HoiCentre for Inflammatory Disease, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-9416-7383
Monash Health · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCognitive dysfunction in SLE is common and associated with significant morbidity but is currently underdetected. Early detection requires the use of screening tests, as formal diagnostic cognitive testing is time-consuming. This study aims to evaluate the Montreal Cognitive Assessment (MoCA) as a screening tool for cognitive dysfunction in SLE.

methodsPatients with SLE (n=95) and demographically matched healthy control participants (n=48) underwent cognitive testing using the 1-hour neuropsychiatric test battery recommended by the American College of Rheumatology for use in SLE and the MoCA. We used regression analyses to determine associations between MoCA and cognitive test scores. We assessed several MoCA cut-offs for predicting cognitive impairment in terms of sensitivity, specificity, positive predictive value and negative predictive value. Receiver operating curve analyses were used to determine the diagnostic accuracy of the MoCA cut-off thresholds.

resultsWe found a significant correlation between MoCA score and 9 of the 10 cognitive endpoints studied (all p<0.001). Receiver operating curve analysis suggested that a MoCA cut-off of <27 had highest diagnostic accuracy across the cognitive impairment definitions (area under the curve 0.76-0.78). Using a screening cut-off of <28, the MoCA had sensitivity of 83%-94% and specificity of 46%-59%, depending on the impairment definition used.

conclusionsThe MoCA correlates strongly with cognitive test results in SLE and has sufficient sensitivity for use as a screening tool with a cut-off of <28 as the optimal threshold. This tool can be incorporated into clinical practice for screening for cognitive dysfunction in SLE.

Indexed as

Cognitive DysfunctionLupus Erythematosus, SystemicHumansMass ScreeningMental Status and Dementia TestsNeuropsychological Testsautoimmune diseasesepidemiologysystemic lupus erythematosus

Identifiers

PMID34911821
PMCPMC8679063
OpenAlexW4200171911

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.