Evidence map›Paper›PMID 35439243›Full record

SynthesisPLoS medicine2022

Temporal trends in associations between severe mental illness and risk of cardiovascular disease: A systematic review and meta-analysis.

Amanda M Lambert, Helen M Parretti, Emma Pearce, Malcolm J Price, Mark Riley, Ronan Ryan, Natalie Tyldesley-Marshall, Tuba Saygın Avşar, Gemma Matthewman, Alexandra Lee and 5 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 6 pooled it
16.1field-weighted citation impact, top 1% of its field
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

67 citing papers in PubMed, 6 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  19. Premature aging in serious mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  20. Article

7 more citing papers are in PubMed but not listed here.

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

15 authors at 7 institutions in 6 countries.

Amanda M LambertInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-9207-9144
Helen M ParrettiNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Emma PearceInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-7608-0033
Malcolm J PriceInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-7352-3027
Mark RileyInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-1914-144X
Ronan RyanInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Natalie Tyldesley-MarshallInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-0576-3459
Tuba Saygın AvşarDepartment of Applied Health Research, University College London, London, United Kingdom.ORCID 0000-0002-4143-3852
Gemma MatthewmanInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Alexandra LeeInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-1295-754X
Khaled AhmedInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-5699-5834
Maria Lisa OdlandInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-4340-7145
Christoph U CorrellThe Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, New York, United States of America.ORCID 0000-0002-7254-5646
Marco SolmiDepartment of Psychiatry, University of Ottawa, Ontario, Canada.ORCID 0000-0003-4877-7233
Tom MarshallInstitute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-9277-5214
University of Birmingham · GBNorthwell Health · USUniversity College London · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of East Anglia · GBUniversity of Liverpool · GBUniversity of Ottawa · CA

Funding

Department of Health
6 · The paper itself

Abstract

backgroundSevere mental illness (SMI; schizophrenia, bipolar disorders (BDs), and other nonorganic psychoses) is associated with increased risk of cardiovascular disease (CVD) and CVD-related mortality. To date, no systematic review has investigated changes in population level CVD-related mortality over calendar time. It is unclear if this relationship has changed over time in higher-income countries with changing treatments. METHODS AND

findingsTo address this gap, a systematic review was conducted, to assess the association between SMI and CVD including temporal change. Seven databases were searched (last: November 30, 2021) for cohort or case-control studies lasting ≥1 year, comparing frequency of CVD mortality or incidence in high-income countries between people with versus without SMI. No language restrictions were applied. Random effects meta-analyses were conducted to compute pooled hazard ratios (HRs) and rate ratios, pooled standardised mortality ratios (SMRs), pooled odds ratios (ORs), and pooled risk ratios (RRs) of CVD in those with versus without SMI. Temporal trends were explored by decade. Subgroup analyses by age, sex, setting, world region, and study quality (Newcastle-Ottawa scale (NOS) score) were conducted. The narrative synthesis included 108 studies, and the quantitative synthesis 59 mortality studies (with (≥1,841,356 cases and 29,321,409 controls) and 28 incidence studies (≥401,909 cases and 14,372,146 controls). The risk of CVD-related mortality for people with SMI was higher than controls across most comparisons, except for total CVD-related mortality for BD and cerebrovascular accident (CVA) for mixed SMI. Estimated risks were larger for schizophrenia than BD. Pooled results ranged from SMR = 1.55 (95% confidence interval (CI): 1.33 to 1.81, p < 0.001), for CVA in people with BD to HR/rate ratio = 2.40 (95% CI: 2.25 to 2.55, p < 0.001) for CVA in schizophrenia. For schizophrenia and BD, SMRs and pooled HRs/rate ratios for CHD and CVD mortality were larger in studies with outcomes occurring during the 1990s and 2000s than earlier decades (1980s: SMR = 1.14, 95% CI: 0.57 to 2.30, p = 0.71; 2000s: SMR = 2.59, 95% CI: 1.93 to 3.47, p < 0.001 for schizophrenia and CHD) and in studies including people with younger age. The incidence of CVA, CVD events, and heart failure in SMI was higher than controls. Estimated risks for schizophrenia ranged from HR/rate ratio 1.25 (95% CI: 1.04 to 1.51, p = 0.016) for total CVD events to rate ratio 3.82 (95% CI: 3.1 to 4.71, p < 0.001) for heart failure. Incidence of CHD was higher in BD versus controls. However, for schizophrenia, CHD was elevated in higher-quality studies only. The HR/rate ratios for CVA and CHD were larger in studies with outcomes occurring after the 1990s. Study limitations include the high risk of bias of some studies as they drew a comparison cohort from general population rates and the fact that it was difficult to exclude studies that had overlapping populations, although attempts were made to minimise this.

conclusionsIn this study, we found that SMI was associated with an approximate doubling in the rate ratio of CVD-related mortality, particularly since the 1990s, and in younger groups. SMI was also associated with increased incidence of CVA and CHD relative to control participants since the 1990s. More research is needed to clarify the association between SMI and CHD and ways to mitigate this risk.

Indexed as

Cardiovascular DiseasesHeart FailureMental DisordersPsychotic DisordersSchizophreniaHumans

Identifiers

PMID35439243
PMCPMC9017899
OpenAlexW4224286130

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.