Evidence map›Paper›PMID 34386999›Full record

ReviewInternational journal of geriatric psychiatry2022

Sex differences in the incidence and prevalence of young-onset Alzheimer's disease: A meta-analysis.

Geeske Peeters, Katerine Katelekha, Brian Lawlor, Naiara Demnitz

Abstract readReview
In one paragraph

Review in International journal of geriatric psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Geeske PeetersDepartment of Geriatric Medicine, Radboud Institute of Health Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0003-4460-7026
Katerine KatelekhaDepartment of Geriatric Medicine, Radboud Institute of Health Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands.
Brian LawlorGlobal Brain Health Institute, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Naiara DemnitzGlobal Brain Health Institute, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe lifetime incidence of Alzheimer's disease is higher in women than in men, but it remains unclear if similar sex differences exist in young-onset Alzheimer's disease (YOAD). This systematic review test the hypothesis that women have a higher prevalence and incidence of YOAD than men.

methodsWe searched Pubmed and Embase (inception to 11 June 2020) for original publications of population-based observational studies with data on the prevalence and/or incidence of YOAD, defined as a medical diagnosis of Alzheimer's disease before the age of 65 years. Data on cross-sectional and/or prospective numbers, percentages, incidences, and incidence rates (in person-years) were derived from included studies. Quality assessment was done using the Nottingham Ottawa Scale. Meta-analyses were done to test the hypothesis that women have a higher prevalence and incidence of YOAD than men.

resultsAfter screening of 3252 titles, 12 articles were included. The pooled prevalence was 0.4% (confidence interval [CI] = 0.1-2.1) in women and 0.2% (CI = 0-1.2) in men (six studies, relative risk [RR] = 1.54, CI = 0.69-3.44, I

conclusionsGiven the low prevalence and wide CIs, no firm conclusions can be drawn. Large-scale studies are required to verify that women are more likely than men to develop YOAD.

Indexed as

Alzheimer's diseaseincidenceprevalencesex characteristicssystematic review

Identifiers

PMID34386999
PMCPMC9290036

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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.