Evidence map›Paper›PMID 40091595›Full record

ArticleBJPsych open2025

Illness-death model to predict anxiety prevalence in general population during COVID-19 pandemic and beyond: a promising development in mental health epidemiology.

Nathan J Monk, Ben Beaglehole

Abstract read
In one paragraph

Article in BJPsych open, 2025. 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

2 authors.

Nathan J MonkDepartment of Psychological Medicine, University of Otago, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-8932-7434
Ben BeagleholeDepartment of Psychological Medicine, University of Otago, Christchurch, New Zealand.ORCID https://orcid.org/0000-0002-9521-1745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ito et al present an illness-death model projecting 82 scenarios for the prevalence of anxiety disorders in Germany from 2019 to 2030 following the COVID-19 pandemic. We suggest the modelling framework used by Ito et al has promising applications for mental health epidemiology.

Indexed as

Epidemiologyillness–death modelmental healthprevalencestatistical methodology

Identifiers

PMID40091595
PMCPMC12001917

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.