Evidence map›Paper›PMID 28330589›Full record

ArticleThe lancet. Psychiatry2017

Ethnicity and excess mortality in severe mental illness: a cohort study.

Jayati Das-Munshi, Chin-Kuo Chang, Rina Dutta, Craig Morgan, James Nazroo, Robert Stewart, Martin J Prince

Open access · hybridAbstract read
In one paragraph

Article in The lancet. Psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

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  12. Premature Mortality and Health Inequality among Adult New Yorkers with Serious Mental Illness.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jayati Das-MunshiDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. Electronic address: jayati.das-munshi@kcl.ac.uk.
Chin-Kuo ChangAcademic Department of Psychological Medicine, King's College London, London, UK.
Rina DuttaAcademic Department of Psychological Medicine, King's College London, London, UK.
Craig MorganDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
James NazrooCathie Marsh Institute for Social Research, University of Manchester, Manchester, UK.
Robert StewartAcademic Department of Psychological Medicine, King's College London, London, UK.
Martin J PrinceDepartment of Health Services and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
King's College London · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess mortality in severe mental illness (defined here as schizophrenia, schizoaffective disorders, and bipolar affective disorders) is well described, but little is known about this inequality in ethnic minorities. We aimed to estimate excess mortality for people with severe mental illness for five ethnic groups (white British, black Caribbean, black African, south Asian, and Irish) and to assess the association of ethnicity with mortality risk.

methodsWe conducted a longitudinal cohort study of individuals with a valid diagnosis of severe mental illness between Jan 1, 2007, and Dec 31, 2014, from the case registry of the South London and Maudsley Trust (London, UK). We linked mortality data from the UK Office for National Statistics for the general population in England and Wales to our cohort, and determined all-cause and cause-specific mortality by ethnicity, standardised by age and sex to this population in 2011. We used Cox proportional hazards regression to estimate hazard ratios and a modified Cox regression, taking into account competing risks to derive sub-hazard ratios, for the association of ethnicity with all-cause and cause-specific mortality.

findingsWe identified 18 201 individuals with a valid diagnosis of severe mental illness (median follow-up 6·36 years, IQR 3·26-9·92), of whom 1767 died. Compared with the general population, age-and-sex-standardised mortality ratios (SMRs) in people with severe mental illness were increased for a range of causes, including suicides (7·65, 95% CI 6·43-9·04), non-suicide unnatural causes (4·01, 3·34-4·78), respiratory disease (3·38, 3·04-3·74), cardiovascular disease (2·65, 2·45-2·86), and cancers (1·45, 1·32-1·60). SMRs were broadly similar in different ethnic groups with severe mental illness, although the south Asian group had a reduced SMR for cancer mortality (0·49, 0·21-0·96). Within the cohort with severe mental illness, hazard ratios for all-cause mortality and sub-hazard ratios for natural-cause and unnatural-cause mortality were lower in most ethnic minority groups relative to the white British group.

interpretationPeople with severe mental illness have excess mortality relative to the general population irrespective of ethnicity. Among those with severe mental illness, some ethnic minorities have lower mortality than the white British group, for which the reasons deserve further investigation.

fundingUK Health Foundation and UK Academy of Medical Sciences.

Indexed as

AdolescentAdultAgedAged, 80 and overCardiovascular DiseasesEthnicityFemaleHumansLongitudinal StudiesMaleMental DisordersMiddle AgedNeoplasmsProportional Hazards ModelsRespiratory Tract DiseasesSex Distribution

Identifiers

PMID28330589
PMCPMC5406616
OpenAlexW2589613763

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.