Evidence map›Paper›PMID 33745445›Full record

ArticleBMC medicine2021

Severe mental illness and mortality and coronary revascularisation following a myocardial infarction: a retrospective cohort study.

Kelly Fleetwood, Sarah H Wild, Daniel J Smith, Stewart W Mercer, Kirsty Licence, Cathie L M Sudlow, Caroline A Jackson

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  14. The association of depression and patient and resuscitation characteristics with survival after out-of-hospital cardiac arrest: a cohort study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
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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

7 authors at 3 institutions in 1 country.

Kelly FleetwoodUsher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
Sarah H WildUsher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
Daniel J SmithInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Stewart W MercerUsher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
Kirsty LicenceInformation Services Division, National Services Scotland, NHS Scotland, Edinburgh, UK.
Cathie L M SudlowUsher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
Caroline A JacksonUsher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK. caroline.jackson@ed.ac.uk.
University of Edinburgh · GBNational Health Service Scotland · GBUniversity of Glasgow · GB

Funding

Medical Research Council MC_PC_17217
6 · The paper itself

Abstract

backgroundSevere mental illness (SMI), comprising schizophrenia, bipolar disorder and major depression, is associated with higher myocardial infarction (MI) mortality but lower coronary revascularisation rates. Previous studies have largely focused on schizophrenia, with limited information on bipolar disorder and major depression, long-term mortality or the effects of either sociodemographic factors or year of MI. We investigated the associations between SMI and MI prognosis and how these differed by age at MI, sex and year of MI.

methodsWe conducted a national retrospective cohort study, including adults with a hospitalised MI in Scotland between 1991 and 2014. We ascertained previous history of schizophrenia, bipolar disorder and major depression from psychiatric and general hospital admission records. We used logistic regression to obtain odds ratios adjusted for sociodemographic factors for 30-day, 1-year and 5-year mortality, comparing people with each SMI to a comparison group without a prior hospital record for any mental health condition. We used Cox regression to analyse coronary revascularisation within 30 days, risk of further MI and further vascular events (MI or stroke). We investigated associations for interaction with age at MI, sex and year of MI.

resultsAmong 235,310 people with MI, 923 (0.4%) had schizophrenia, 642 (0.3%) had bipolar disorder and 6239 (2.7%) had major depression. SMI was associated with higher 30-day, 1-year and 5-year mortality and risk of further MI and stroke. Thirty-day mortality was higher for schizophrenia (OR 1.95, 95% CI 1.64-2.30), bipolar disorder (OR 1.53, 95% CI 1.26-1.86) and major depression (OR 1.31, 95% CI 1.23-1.40). Odds ratios for 1-year and 5-year mortality were larger for all three conditions. Revascularisation rates were lower in schizophrenia (HR 0.57, 95% CI 0.48-0.67), bipolar disorder (HR 0.69, 95% CI 0.56-0.85) and major depression (HR 0.78, 95% CI 0.73-0.83). Mortality and revascularisation disparities persisted from 1991 to 2014, with absolute mortality disparities more apparent for MIs that occurred around 70 years of age, the overall mean age of MI. Women with major depression had a greater reduction in revascularisation than men with major depression.

conclusionsThere are sustained SMI disparities in MI intervention and prognosis. There is an urgent need to understand and tackle the reasons for these disparities.

Indexed as

Mental DisordersMyocardial InfarctionPercutaneous Coronary InterventionSchizophreniaAdultFemaleHumansMaleRetrospective StudiesRisk FactorsBipolar disorderCoronary revascularisationDepressionMortalityMyocardial infarctionPrognosisSchizophrenia

Identifiers

PMID33745445
PMCPMC7983231
OpenAlexW3128459352

What OpenQuestion holds

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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.