Evidence map›Paper›PMID 40604523›Full record

ArticleBMC geriatrics2025

A secondary analysis of cortical atrophy and plasma amyloid β patterns in older patients with cognitive frailty undergoing elective surgery.

Rudolf Mörgeli, Friedrich Borchers, Insa Feinkohl, Sophie K Piper, Tobias Pischon, Arjen J C Slooter, Claudia Spies, Janine Wiebach, Georg Winterer, Norman Zacharias and 1 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02265263 (Biomarker Development for Postoperative Cognitive Impairment in the Elderly), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT02265263 terminatednot on this map

Biomarker Development for Postoperative Cognitive Impairment in the Elderly (BioCog)

TypeobservationalSponsorCharite University, Berlin, GermanyRan2014 to 2019Enrolled1,054ConditionsPostoperative Delirium (POD), Postoperative Cognitive Deficit (POCD)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Rudolf MörgeliDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0001-8506-5898
Friedrich BorchersDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0001-7290-2271
Insa FeinkohlMolecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.ORCID http://orcid.org/0000-0002-0307-1862
Sophie K PiperInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-0147-8992
Tobias PischonMolecular Epidemiology Research Group, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.ORCID http://orcid.org/0000-0003-1568-767X
Arjen J C SlooterDepartments of Psychiatry and Intensive Care Medicine and Brain Center UMC Utrecht, University Medical Center Utrecht (UMC), Utrecht University, Utrecht, the Netherlands.ORCID http://orcid.org/0000-0003-0804-8378
Claudia SpiesDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0002-1062-0495
Janine WiebachBerlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-7416-9859
Georg WintererDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0002-3610-5029
Norman ZachariasDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.ORCID http://orcid.org/0000-0001-5794-5716
Florian Lammers-LietzDepartment of Anesthesiology and Intensive Care Medicine| CCM| CVK, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. florian.lammers@charite.de.ORCID http://orcid.org/0000-0002-7371-3947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe etiology of cognitive impairment in frailty may be related to age or to an independent neurodegenerative process, such as Alzheimer's disease (AD). In this secondary analysis, we examine cognitive frailty in patients aged 65 and older undergoing elective surgery, and explore associations with aging- and AD-related cortical atrophy patterns and amyloid β (Aβ) concentrations.

methodsCognitive frailty (CF) was defined as the co-occurrence of (pre-)frailty and cognitive impairment (CI). Cognitive performance was assessed using the MMSE and the Cambridge Neuropsychological Teste Automated Battery (CANTAB), while frailty was assessed with a modified version of Fried's frailty phenotype. Aging- and AD-related cortical atrophy patterns were derived from T1-weighted MRI using Freesurfer software. MRI patterns and plasma concentrations of Aβ species 40 and 42 (including Aβ 42/40 ratio) were compared to physically robust, cognitively unimpaired patients using multiple regression analyses and presented as regression coefficient b with 95% confidence intervals.

resultsMRI data of N = 489 patients (N = 251 with frailty, N = 15 with CI, N = 43 with CF) and plasma Aβ concentrations of N = 786 patients (N = 400 with frailty, N = 20 with CI, N = 101 with CF) were analyzed. Cognitive frailty was associated with both aging-related and AD-related MRI signatures (b

conclusionOur results suggest that atrophy in aging- and AD-related cortical regions is associated with cognitive frailty. Plasma amyloid β42/β40-ratios were significantly lower in patients with frailty and cognitive frailty, suggesting that (pre-)frailty in general, rather than cognitive frailty specifically, is associated with AD-like changes. Hence, AD-related pathology seems to be associated with cognitive frailty, but the available data is not sufficient to indicate shared pathomechanisms between AD and cognitive frailty.

trial registrationClinicalTrials.gov. Identifier NCT02265263, Date October 15th, 2014.

Indexed as

Amyloid beta-PeptidesCerebral CortexCognitive DysfunctionElective Surgical ProceduresFrailtyAgedAged, 80 and overAlzheimer DiseaseAtrophyFemaleFrail ElderlyHumansMagnetic Resonance ImagingMaleNeuropsychological TestsAmyloid beta-PeptidesAgingAmyloidβCognitive frailtyCortical atrophyFrailtyMRI

Identifiers

PMID40604523
PMCPMC12220147

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Registered trials

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.