Evidence map›Paper›PMID 39639343›Full record

ArticleAlzheimer's research & therapy2024

Frequency, sociodemographic, and neuropsychological features of patients with subjective cognitive decline diagnosed using different neuropsychological criteria.

Pedro Câmara Pestana, Sandra Cardoso, Manuela Guerreiro, João Maroco, Frank Jessen, Frederico Simões do Couto, Alexandre de Mendonça

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. [Progress on prognostic assessment methods for mild cognitive impairment].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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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.

Pedro Câmara PestanaPsychiatry and Mental Health Department, Unidade Local de Saúde de Santa Maria, Av. Prof. Egas Moniz MB, Lisbon, Lisboa, 1649-028, Portugal. pedro.pestana@chln.min-saude.pt.ORCID 0000-0003-3166-6481
Sandra CardosoFaculty of Medicine, University of Lisbon, Lisbon, Portugal.ORCID 0000-0001-8333-0133
Manuela GuerreiroFaculty of Medicine, University of Lisbon, Lisbon, Portugal.ORCID 0000-0002-1948-1516
João MarocoISPA - Instituto Universitário de Ciências Psicológicas, Sociais e da Vida, Lisbon, Portugal.ORCID 0000-0001-9214-5378
Frank JessenDepartment of Psychiatry, University of Cologne, Cologne, Germany.ORCID 0000-0003-1067-2102
Frederico Simões do CoutoPsychiatry and Mental Health Department, Unidade Local de Saúde de Santa Maria, Av. Prof. Egas Moniz MB, Lisbon, Lisboa, 1649-028, Portugal.ORCID 0000-0002-3916-2598
Alexandre de MendonçaFaculty of Medicine, University of Lisbon, Lisbon, Portugal.ORCID 0000-0002-0488-1453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubjective Cognitive Decline (SCD) is recognized as a risk stage for future cognitive impairment and dementia. The criteria for SCD include normal performance on neuropsychological testing; however, there is a lack of consensus regarding standard score cut-offs for neuropsychological tests to define cognitive impairment and to differentiate between SCD and Mild Cognitive Impairment (MCI). This study aimed to assess the frequency of SCD diagnosis using various neuropsychological definitions of cognitive normality and to characterize the sociodemographic and neuropsychological features of SCD patients diagnosed under these criteria.

methodsThe Cognitive Complaints Cohort (CCC) participants were diagnosed following Subjective Cognitive Decline Initiative (SCD-I) criteria. Normal cognitive performance was defined by the absence of Mild Cognitive Impairment (MCI) according to the five sets of MCI neuropsychologically based criteria defined by Jak and Bondi. Descriptive statistics were used to analyze sociodemographic, clinical, and neuropsychological data. A bootstrap methodology was employed to estimate the mean and 95% confidence intervals (CI) for specific parameters of interest, namely the SMC scale (subjective memory complaints scale), Mini-Mental State Examination (MMSE), Blessed Dementia Rating Scale - first part (BDRS first part), and Geriatric Depression Scale (GDS).

resultsAmong the 1268 subjects included, the prevalence of SCD diagnosis exhibited substantial variation across SCD-I criteria using different neuropsychological definitions of cognitive normality (ranging from 16.4 to 81.3%). When using the most conservative criteria to define cognitive impairment (2 tests within a cognitive domain > 1.5 SD below age-adjusted means), the resulting Conservative SCD group had poorer global cognitive function (MMSE: mean 27.15, 95% CI 27.00-27.31), whereas when using the most liberal criteria to define cognitive impairment (only one test > 1 SD below age-adjusted means) the resulting Liberal SCD group had superior performance in daily-life functioning (BDRS first part: mean 0.30, 95% CI 0.23-0.38). However, subjective cognitive complaints and neuropsychiatric symptoms did not significantly differ among SCD diagnostic groups.

conclusionsThe utilization of diagnostic criteria using distinct neuropsychological definitions of cognitive normality significantly impacts the frequency of SCD diagnosis and characterizes different patient populations. Consequently, it is essential to specify the criterion when diagnosing a SCD patient and to understand the risks and benefits of using different criteria to define cognitive impairment.

Indexed as

Cognitive DysfunctionNeuropsychological TestsAgedAged, 80 and overCohort StudiesDiagnostic Self EvaluationFemaleHumansMaleMiddle AgedAgingClinical settingCognitive impairmentMemory complaintsMild cognitive impairmentNeuropsychological testsSubjective cognitive decline

Identifiers

PMID39639343
PMCPMC11619704

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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.