Evidence map›Paper›PMID 39572074›Full record

ArticleRMD open2024

Utility of the 2019 EULAR/ACR SLE classification criteria for predicting mortality and hospitalisation: development and cross-validation of ominosity score.

Gabriel Figueroa-Parra, Andrew C Hanson, Alain Sanchez-Rodriguez, Jose A Meade-Aguilar, Mariana González-Treviño, María C Cuéllar-Gutiérrez, Kamil E Barbour, Alí Duarte-García, Cynthia Crowson

Abstract readValidation Study
In one paragraph

Article in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Gabriel Figueroa-ParraDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-6077-8899
Andrew C HansonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Alain Sanchez-RodriguezDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
Jose A Meade-AguilarDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
Mariana González-TreviñoDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
María C Cuéllar-GutiérrezDivision of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.
Kamil E BarbourDivision of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Alí Duarte-García *Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA Duarte.Ali@mayo.edu.ORCID 0000-0003-1749-5719
Cynthia Crowson *Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-5847-7475

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NCATS NIH HHS UL1 TR002377NCCDPHP CDC HHS U01 DP006491NCCDPHP CDC HHS U01 DP006703NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveThe 2019 European Alliance of Associations for Rheumatology (EULAR)/American College of Rheumatology (ACR) systemic lupus erythematosus (SLE) classification criteria score (≥20 points) has been associated with poor outcomes. We aimed to evaluate its utility as a predictor for mortality and hospitalisation and to derive and validate an ominosity score based on the SLE classification criteria set.

methodsIncident patients with SLE in a population-based cohort were included. The association between the 2019 EULAR/ACR SLE score and mortality and hospitalisation was assessed using Cox regression adjusted for age, sex and calendar year. An ominosity score for mortality was developed based on the SLE criteria set. The least absolute shrinkage and selection operator method was used to estimate model coefficients. Concordance and calibration were assessed by cross-validation and by plotting the observed event rates against the deciles of predicted probabilities.

resultsAmong 374 patients with incident SLE, a EULAR/ACR score ≥20 points was not associated with an increased risk of mortality (HR 1.17, 95% CI 0.67 to 2.03) or first hospitalisation (HR 1.14, 95% CI 0.79 to 1.64) compared with a score ≤19 points. The derived ominosity score for mortality included age, sex, thrombocytopaenia, neuropsychiatric manifestations, subacute cutaneous or discoid lupus, non-scarring alopecia, inflammatory arthritis, renal involvement, antiphospholipid antibodies and hypocomplementaemia. This model demonstrated a concordance=0.76 with adequate calibration. Age and sex were the main predictors, as seen in the model including just age, sex and year (concordance=0.77).

conclusionThe 2019 EULAR/ACR SLE criteria score was not associated with mortality and hospitalisation. The derived ominosity score for mortality presented good prediction for mortality but was not better than age and sex alone.

Indexed as

HospitalizationLupus Erythematosus, SystemicSeverity of Illness IndexAdultFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsClassificationEpidemiologyLupus Erythematosus, SystemicMortalityOutcome Assessment, Health Care

Identifiers

PMID39572074
PMCPMC11580311

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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.