Evidence map›Paper›PMID 41998781›Full record

ArticleSystematic reviews2026

Causal inference in real-world dementia research: a systematic review protocol.

Yi Yang, Shivani Suresh, Jiamin Du, Rachel Brohier, Hongen Ma, Ivan Koychev, Vanessa Raymont

Abstract read
In one paragraph

Article in Systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

7 authors.

Yi YangDepartment of Psychiatry, University of Oxford, Oxford, UK. yi.yang@psych.ox.ac.uk.ORCID 0000-0002-3238-5748
Shivani SureshDepartment of Psychiatry, University of Oxford, Oxford, UK.
Jiamin DuDepartment of Psychiatry, University of Oxford, Oxford, UK.
Rachel BrohierDepartment of Psychiatry, University of Oxford, Oxford, UK.
Hongen MaClinical Psychology Department, University of Edinburgh, Edinburgh, UK.
Ivan KoychevDepartment of Psychiatry, University of Oxford, Oxford, UK.
Vanessa RaymontDepartment of Psychiatry, University of Oxford, Oxford, UK. vanessa.raymont@psych.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia presents complex challenges for causal inference due to its multifactorial aetiology and slow, heterogeneous progression. Randomized controlled trials are often limited in their potential to fully address these challenges because of ethical and practical constraints. As the field evolves, observational studies incorporating advanced causal inference methods are increasingly used to estimate real-world effects in dementia research. However, the implementation of these methods varies widely and has not been systematically evaluated, with an emerging trend towards integration with techniques such as machine learning. This systematic review will critically examine how causal inference techniques are applied in dementia research, assess their methodological rigor, and identify trends, assumptions, and gaps that may inform future applications and methodological innovation in the field.

methodsFollowing PRISMA guidelines, searches will be conducted in MEDLINE, EMBASE, Web of Science, PsycINFO, Scopus, and the Cochrane Library for studies published between 1960 and 2024. Eligible studies will include observational designs that use causal inference methods to investigate outcomes such as cognitive decline, disease progression, and quality of life. Data extraction will capture study characteristics, methodological details, and key findings, with risk of bias assessed using ROBINS-I. A narrative synthesis will summarize qualitative results, and meta-analyses will be performed when methodological homogeneity permits. DISCUSSION: This review will address a critical gap in the evaluation of the application of causal inference methods in real-world dementia research. By identifying methodological challenges, underlying assumptions, and emerging analytical techniques, it aims to strengthen research rigor and reproducibility and inform future methodological development, with potential implications for policy and practice in dementia care. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (CRD42024619228).

Indexed as

CausalityDementiaDisease ProgressionHumansObservational Studies as TopicResearch DesignSystematic Reviews as TopicCausal inferenceCognitive declineDementiaObservational studySystematic review

Identifiers

PMID41998781
PMCPMC13220476

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.