Evidence map›Paper›PMID 41125401›Full record

ArticleOpen heart2025

Impact of the COVID-19 pandemic on incidence of myocardial infarction, heart failure and stroke, by mental disorder diagnosis, in England, 2019-2023: a cohort study.

Kelly Fleetwood, John Nolan, Stewart W Mercer, Sandosh Padmanabhan, Daniel J Smith, Robert Stewart, Caroline A Jackson, CVD-COVID-UK/COVID-IMPACT Consortium

Abstract read
In one paragraph

Article in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Kelly FleetwoodUsher Institute, University of Edinburgh, Edinburgh, UK kelly.fleetwood@ed.ac.uk.ORCID http://orcid.org/0000-0002-1382-3095
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID http://orcid.org/0000-0002-5342-0514
Stewart W MercerUsher Institute, University of Edinburgh, Edinburgh, UK.
Sandosh PadmanabhanSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-3869-5808
Daniel J SmithCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Robert StewartDepartment of Psychological Medicine, King's College London, London, UK.
Caroline A JacksonUsher Institute, University of Edinburgh, Edinburgh, UK.
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to estimate mental disorder disparities in cardiovascular disease (CVD) incidence and determine whether these disparities were worsened by the COVID-19 pandemic.

methodsFor each outcome (myocardial infarction (MI), heart failure and stroke), we created a population-based cohort of people without a prior diagnosis of the outcome using linked electronic health records, with follow-up from November 2019 until December 2023. We ascertained pre-existing schizophrenia, bipolar disorder and depression, and each CVD outcome from primary care and hospital admission records and (for CVD outcomes) mortality records. We calculated sex-stratified age-standardised incidence rates by mental disorder diagnosis and used quasi-Poisson modelling to obtain rate ratios (RRs) of CVD among people with each of schizophrenia, bipolar disorder or depression versus those without any of these disorders, adjusting for sociodemographic factors and time period. We investigated whether mental disorder disparities changed as a consequence of the COVID-19 pandemic by including an interaction term between mental disorder and time.

resultsDuring follow-up, 383 365 people had incident MI, 868 590 had incident heart failure and 455 300 had incident stroke. Age-standardised incidence of each CVD outcome decreased markedly between February and April 2020, with incidence levels returning to, but not exceeding, prepandemic levels in subsequent years. Mental disorder was associated with a higher incidence of each CVD outcome, with RRs ranging from 1.31 (95% CI 1.25 to 1.38) to 2.15 (95% CI 2.05 to 2.24). There was generally no evidence of interaction between mental disorder and time, with mental disorder disparities in CVD incidence stable over time.

conclusionWe found no clear evidence that the mental disorder disparities in CVD incidence widened during the acute period of the pandemic or during the subsequent years. Continued monitoring of the CVD burden in the general population and among marginalised groups is critical to identifying longer-term impacts on CVD and worsening disparities.

Indexed as

COVID-19Heart FailureMental DisordersMyocardial InfarctionStrokeAdultAgedEnglandFemaleHumansIncidenceMaleMiddle AgedSARS-CoV-2COVID-19HEART FAILUREMyocardial InfarctionSTROKE

Identifiers

PMID41125401
PMCPMC12548611

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.