Evidence map›Paper›PMID 38688882›Full record

ArticleBrain and behavior2024

Clinical predictors of Alzheimer's disease-like brain atrophy in individuals with memory complaints.

Ahmet Alp Karakasli, Esra Ozkan, Melike Karacam Dogan, Duygu Cap, Ayca Karaosmanoglu, Sevilay Karahan, Nabi Zorlu, Esen Saka, Yavuz Ayhan

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 4 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

9 authors at 6 institutions in 2 countries.

Ahmet Alp KarakasliDepartment of Psychiatry, Hitit University Faculty of Medicine, Çorum, Turkey.ORCID 0000-0002-1472-1437
Esra OzkanResearch Center for Translational Medicine, Koç University, İstanbul, Turkey.
Melike Karacam DoganDepartment of Psychiatry, Eregli State Hospital, Zonguldak, Turkey.
Duygu CapDepartment of Psychology, Ufuk University, Ankara, Turkey.
Ayca KaraosmanogluDepartment of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Sevilay KarahanDepartment of Biostatistics, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Nabi ZorluDepartment of Psychiatry, İzmir Katip Çelebi University Faculty of Medicine, İzmir, Turkey.
Esen SakaDepartment of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Yavuz AyhanDepartment of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Hacettepe University · TRHitit Üniversitesi · TRIzmir Kâtip Çelebi University · TRKoç University · TRState Hospital · GBUfuk University · TR

Funding

HACETTEPE UNIVERSITY THD 2018-17363The Psychiatric Association of TurkeyTürkiye Bilimsel ve Teknolojik Araştırma Kurumu 214S048
6 · The paper itself

Abstract

objectivesThe definition and assessment methods for subjective cognitive decline (SCD) vary among studies. We aimed to investigate which features or assessment methods of SCD best predict Alzheimer's disease (AD)-related structural atrophy patterns.

methodsWe assessed 104 individuals aged 55+ with memory complaints but normal cognitive screening. Our research questions were as follows: To improve the prediction of AD related morphological changes, (1) Would the use of a standardized cognitive screening scale be beneficial? (2) Is conducting a thorough neuropsychological evaluation necessary instead of relying solely on cognitive screening tests? (3) Should we apply SCD-plus research criteria, and if so, which criterion would be the most effective? (4) Is it necessary to consider medical and psychiatric comorbidities, vitamin deficiencies, vascular burden on MRI, and family history? We utilized Freesurfer to analyze cortical thickness and regional brain volume meta-scores linked to AD or predicting its development. We employed multiple linear regression models for each variable, with morphology as the dependent variable.

resultsAD-like morphology was associated with subjective complaints in males, individuals with advanced age, and higher education. Later age of onset for complaints, complaints specifically related to memory, excessive deep white matter vascular lesions, and using medications that have negative implications for cognitive health (according to the Beers criteria) were predictive of AD-related morphology. The subjective cognitive memory questionnaire scores were found to be a better predictor of reduced volumes than a single-question assessment. It is important to note that not all SCD-plus criteria were evaluated in this study, particularly the APOE genotype, amyloid, and tau status, due to resource limitations.

conclusionsThe detection of AD-related structural changes is impacted by demographics and assessment methods. Standardizing SCD assessment methods can enhance predictive accuracy.

Indexed as

Alzheimer DiseaseAtrophyMagnetic Resonance ImagingAgedAged, 80 and overBrainCognitive DysfunctionFemaleHumansMaleMemory DisordersMiddle AgedNeuropsychological TestsAlzheimercortical thicknessimaging biomarkerssubjective cognitive decline

Identifiers

PMID38688882
PMCPMC11061206
OpenAlexW4396559813

What OpenQuestion holds

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LicenceCC BY
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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.