Evidence map›Paper›PMID 42516165›Full record

ArticleRheumatology advances in practice2026

The SLICC/ACR damage index, assessed using a community-based electronic healthcare record, predicts mortality in SLE patients: results from the United Kingdom Clinical Practice Research Datalink.

Jessica Ellis, Neil McHugh, John D Pauling, Ian N Bruce, Shivani Gor, Jenny H Humphreys, Hannah Vaughan-Williams, Ellie Korendowych, Christine MacFadyen, Sarah Skeoch and 1 more

Abstract read
In one paragraph

Article in Rheumatology advances in practice, 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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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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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

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5 · Who and what money

Authors and funding

11 authors.

Jessica EllisDepartment of Life Sciences, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0002-9343-809X
Neil McHughDepartment of Life Sciences, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0003-2765-658X
John D PaulingDepartment of Life Sciences, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0002-2793-2364
Ian N BruceCentre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0000-0003-3047-500X
Shivani GorDepartment of Rheumatology, Royal National Hospital for Rheumatic Diseases, Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
Jenny H HumphreysCentre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0000-0003-2497-4080
Hannah Vaughan-WilliamsDepartment of Rheumatology, Royal National Hospital for Rheumatic Diseases, Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
Ellie KorendowychDepartment of Life Sciences, University of Bath, Bath, UK.
Christine MacFadyenDepartment of Life Sciences, University of Bath, Bath, UK.
Sarah SkeochDepartment of Life Sciences, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0001-9015-7762
Anita McGroganDepartment of Life Sciences, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0003-3855-9400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: SLE, the exemplar autoimmune multisystem disease, is still burdened by excess morbidity and mortality. Damage is a key mediator of this. Studies of damage in outside-of-hospital cohorts are lacking, limiting understanding of real-world patient outcomes. The objectives were thus to design an instrument for measurement of SLE organ damage (eSDI) usable within a UK electronic primary care healthcare database [Clinical Practice Research Datalink (CPRD)] and describe the accrual of damage and mortality associations in an SLE cohort. Methods: A cohort of SLE individuals, including incident and prevalent cases, was identified in the CPRD. Organ damage item definitions were made usable for the electronic registry setting. Prevalence of damage in the overall cohort was described using descriptive statistics. Associations with mortality and damage (expressed in two ways, SDI > 0 ever, or modelled as a continuous cumulative variable) were examined using multivariable logistic regression, Kaplan-Meier analysis and extended Cox proportional hazards analysis in the incident SLE population. Results: We identified 8363 SLE patients in total, of whom the eSDI measured damage in 3537 (42.3%). The most common items were osteoporosis (10.39%), malignancy (8.4%) and cataract (7.4%). Damage across all organ systems was associated with an increased odds of death (e.g. malignancy [odds ratio 6.33 (95% CI 5.34, 7.49)]. Development of damage (eSDI >0 or as a numerical damage score) was significantly associated with an increased hazard of mortality. Conclusion: The use of an adapted eSDI for community electronic health records is feasible and enables widening of the study of damage and its morbidity and mortality consequences to primary care populations. This is more likely to reflect the real-world accumulation and outcomes of damage over time in SLE.

Indexed as

damageepidemiologymortalityobservational studysystemic lupus erythematosusUnited Kingdom

Identifiers

PMID42516165
PMCPMC13405242

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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.