Evidence map›Paper›PMID 40619917›Full record

ArticleThe British journal of psychiatry : the journal of mental science2026

Prediction of individualised 6-month mortality risk in opioid use disorder.

Emmert Roberts, John Strang, Eve Taylor, Jamie Crummy, Tim Lowden, Chioma Amasiatu, Brian Eastwood

Abstract readValidation Study
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Emmert RobertsNational Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-4152-5570
John StrangSouth London and the Maudsley NHS Foundation Trust, London, UK.
Eve TaylorNational Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK.
Jamie CrummyDepartment of Health and Social Care, Office for Health Improvement and Disparities, London, UK.
Tim LowdenDepartment of Health and Social Care, Office for Health Improvement and Disparities, London, UK.
Chioma AmasiatuDepartment of Health and Social Care, Office for Health Improvement and Disparities, London, UK.
Brian EastwoodDepartment of Health and Social Care, Office for Health Improvement and Disparities, London, UK.

Funding

Department of Health NIHR302215
6 · The paper itself

Abstract

backgroundPeople with opioid use disorder (OUD) have substantially higher standardised mortality rates compared with the general population. However, lack of individualised prognostic information presents challenges in personalisation of addiction treatment delivery.

aimsTo develop and validate the first prognostic models to estimate 6-month all-cause and drug-related mortality risk for people diagnosed with OUD using indicators recorded at baseline assessment in addiction services in England.

methodThirteen candidate prognostic variables, including sociodemographic, injecting status and health and mental health factors, were identified from nationally linked addiction treatment, hospital admission and death records from 1 April 2013 to 1 April 2022. Multivariable Cox regression models were developed with a fractional polynomial approach for continuous variables, and missing data were addressed using multiple imputation by chained equations. Validation was undertaken using bootstrapping methods. Discrimination was assessed using Harrel's C and D statistics alongside examination of observed-to-predicted event rates and calibration curve slopes.

resultsData were available for 236 064 people with OUD, with 2427 deaths due to any cause, including 1289 due to drug-related causes. Both final models demonstrated good optimism-adjusted discrimination and calibration, with all-cause and drug-related models, respectively, demonstrating Harrell's C statistics of 0.73 (95% CI 0.71-0.75) and 0.74 (95% CI 0.72-0.76), D-statistics of 1.01 (95% CI 0.95-1.08) and 1.07 (95% CI 0.98-1.16) and calibration slopes of 1.01 (95% CI 0.95-1.08) and 1.01 (95% CI 0.94-1.10).

conclusionsWe developed and internally validated Roberts' OUD mortality risk, with the first models to accurately quantify individualised absolute 6-month mortality risks in people with OUD presenting to addiction services. Independent validation is warranted to ensure these models have the optimal utility to assist wider future policy, commissioning and clinical decision-making.

Indexed as

Opioid-Related DisordersAdultEnglandFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRisk AssessmentepidemiologyMortalityopioid use disorderprognosisrisk prediction

Identifiers

PMID40619917
PMCPMC7617949

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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.