Evidence map›Paper›PMID 35725402›Full record

SynthesisBMC geriatrics2022

Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia.

Imke Seifert, Henrik Wiegelmann, Marta Lenart-Bugla, Mateusz Łuc, Marcin Pawłowski, Etienne Rouwette, Joanna Rymaszewska, Dorota Szcześniak, Myrra Vernooij-Dassen, Marieke Perry and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

14 authors.

Imke SeifertDepartment for Health Services Research, Institute of Public Health and Nursing Research (IPP), Health Sciences Bremen, University of Bremen, Grazer Straße 4 , 28359, Bremen, Germany. imke.seifert@uni-bremen.de.
Henrik WiegelmannDepartment for Health Care Research, Institute of Public Health and Nursing Research (IPP), Health Sciences Bremen, University of Bremen, Bremen, Germany.
Marta Lenart-BuglaDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Mateusz ŁucDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Marcin PawłowskiDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Etienne RouwetteMethodology Department, University of Nijmegen, Nijmegen, The Netherlands.
Joanna RymaszewskaDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Dorota SzcześniakDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Myrra Vernooij-DassenFaculty of Medical Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Marieke PerryDepartment of Geriatric Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
René MelisDepartment of Geriatric Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Karin Wolf-OstermannDepartment for Health Care Research, Institute of Public Health and Nursing Research (IPP), Health Sciences Bremen, University of Bremen, Bremen, Germany.
Ansgar GerhardusDepartment for Health Services Research, Institute of Public Health and Nursing Research (IPP), Health Sciences Bremen, University of Bremen, Grazer Straße 4 , 28359, Bremen, Germany.
SHARED consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia is a multi-factorial condition rather than a natural and inevitable consequence of ageing. Some factors related to dementia have been studied much more extensively than others. To gain an overview of known or suspected influential factors is a prerequisite to design studies that aim to identify causal relationships and interactions between factors. This article aims to develop a visual model that a) identifies factors related to cognitive decline that signal the onset of dementia, b) structures them by different domains and c) reflects on and visualizes the possible causal links and interactions between these factors based on expert input using a causal loop diagram.

methodWe used a mixed-method, step-wise approach: 1. A systematic literature review on factors related to cognitive decline; 2. A group model building (GMB) workshop with experts from different disciplines; 3. Structured discussions within the group of researchers. The results were continuously synthesized and graphically transformed into a causal loop diagram.

resultsThe causal loop diagram comprises 73 factors that were structured into six domains: physical (medical) factors (23), social health factors (21), psychological factors (14), environmental factors (5), demographic factors (5) and lifestyle factors (3). 57 factors were identified in the systematic literature review, additionally 16 factors, mostly of the social health cluster, were identified during the GMB session and the feedback rounds.

conclusionThe causal loop diagram offers a comprehensive visualisation of factors related to cognitive decline and their interactions. It supports the generation of hypotheses on causal relationships and interactions of factors within and between domains.

Indexed as

Cognitive DysfunctionDementiaCognitionHumansLife StyleCognitionDementiaModelRisk factorsTheory

Identifiers

PMID35725402
PMCPMC9208220

What OpenQuestion holds

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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.