Evidence map›Paper›PMID 39773797›Full record

ArticleBMJ open2025

Cohort profile: creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and young adult e-cohort (SMYC) to investigate the lived experience of the 'burdensomeness' of multimorbidity.

Roberta Chiovoloni, Jakub J Dylag, Nisreen A Alwan, Ann Berrington, Michael Boniface, Nic Fair, Emilia Holland, Rebecca Hoyle, Mozhdeh Shiranirad, Sebastian Stannard and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

14 authors.

Roberta ChiovoloniPopulation Data Science, Faculty of Medicine, Swansea University Medical School, Swansea, UK roberta.chiovoloni@swansea.ac.uk.ORCID http://orcid.org/0000-0003-2908-9080
Jakub J DylagSchool of Electronics and Computer Science, University of Southampton, Southampton, UK.
Nisreen A AlwanSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK.
Ann BerringtonDepartment of Social Statistics and Demography, University of Southampton, Southampton, UK.
Michael BonifaceSchool of Electronics and Computer Science, University of Southampton, Southampton, UK.
Nic FairSchool of Electronics and Computer Science, University of Southampton, Southampton, UK.
Emilia HollandSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK.
Rebecca HoyleSchool of Mathematical Sciences, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-1645-1071
Mozhdeh ShiraniradSchool of Mathematical Sciences, University of Southampton, Southampton, UK.
Sebastian StannardSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK.ORCID http://orcid.org/0000-0002-6139-1020
Zlatko ZlatevSchool of Electronics and Computer Science, University of Southampton, Southampton, UK.
Rhiannon K OwenPopulation Data Science, Faculty of Medicine, Swansea University Medical School, Swansea, UK.
Simon FraserSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK.ORCID http://orcid.org/0000-0002-4172-4406
Ashley AkbariPopulation Data Science, Faculty of Medicine, Swansea University Medical School, Swansea, UK.ORCID http://orcid.org/0000-0003-0814-0801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe have established the SAIL MELD-B electronic cohort (e-cohort SMC) and the SAIL MELD-B children and Young adults e-cohort (SMYC) as a part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) project. Each cohort has been created to investigate and develop a deeper understanding of the lived experience of the 'burdensomeness' of multimorbidity by identifying new clusters of burdensomeness concepts, exploring early life risk factors of multimorbidity and modelling hypothetical prevention scenarios.

participantsThe SMC and SMYC are longitudinal e-cohorts created from routinely collected individual-level population-scale anonymised data sources available within the Secure Anonymised Information Linkage (SAIL) Databank. They include individuals with available records from linked health and demographic data sources in SAIL at any time between 1 January 2000 and 31 December 2022. The SMYC e-cohort is a subset of the SMC, including only individuals born on or after the cohort start date. FINDINGS TO DATE: The SMC and SMYC cohorts include 5 180 602 (50.3% female and 49.7% male) and 896 155 (48.7% female and 51.3% male) individuals, respectively. Considering both primary and secondary care health data, the five most common long-term conditions for individuals in SMC are 'Depression', affecting 21.6% of the cohort, 'Anxiety' (21.1%), 'Asthma' (17.5%), 'Hypertension' (16.2%) and 'Atopic Eczema' (14.1%) and the five most common conditions for individuals in SMYC are 'Atopic Eczema' (21.2%), 'Asthma' (11.6%), 'Anxiety' (6.0%), 'Deafness' (4.6%) and 'Depression' (4.3%). FUTURE PLANS: The SMC and SMYC e-cohorts have been developed using a reproducible, maintainable concept curation pipeline, which allows for the cohorts to be updated dynamically over time and manages for the request and processing of further approved long-term conditions and burdensomeness concepts extraction. Best practices from the MELD-B project can be utilised across other projects, accessing similar data with population-scale data sources and trusted research environments.

Indexed as

MultimorbidityAdolescentAdultChildChild, PreschoolCohort StudiesFemaleHumansLongitudinal StudiesMaleRisk FactorsYoung AdultChronic DiseaseElectronic Health RecordsMultimorbiditySTATISTICS & RESEARCH METHODS

Identifiers

PMID39773797
PMCPMC11792564

What Socratic 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 Socratic graph.