Evidence map›Paper›PMID 30144293›Full record

ArticleArthritis care & research2019

Patient-Reported Outcomes Predict Mortality in Lupus.

Desiree R Azizoddin, Meenakshi Jolly, Shilpa Arora, Ed Yelin, Patricia Katz

Open access · greenAbstract read
In one paragraph

Article in Arthritis care & research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Desiree R AzizoddinStanford Health Care, Palo Alto, California.ORCID 0000-0001-6993-1776
Meenakshi JollyRush University Medical Center, Chicago, Illinois.
Shilpa AroraJohn H. Stroger Hospital, Chicago, Illinois.
Ed YelinUniversity of California at San Francisco.
Patricia KatzUniversity of California at San Francisco.
University of California, San Francisco · USJohn H. Stroger, Jr. Hospital of Cook County · USRush University Medical Center · USStanford Health Care · US

Funding

The Interplay of Sociodemographic and Genetic Factors in SLE Health DisparitiesP60AR053308 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KATZ, PATRICIA P · 2006 to 2016
$11.8M
Health Systems, Quality of Care, and Outcomes in SLER01AR056476 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YELIN, EDWARD H · 2008 to 2012
$2.5M
NIAMS NIH HHS P60 AR053308NIAMS NIH HHS R01 AR056476
6 · The paper itself

Abstract

objectivePhysician-assessed disease activity and damage predict mortality in systemic lupus erythematosus (SLE). Patient-reported outcomes (PROs) are known predictors of mortality in other chronic diseases, but this relationship has not been well examined in SLE. The aim of the present study was to assess whether PROs predict mortality in SLE.

methodsData were derived from the University of California at San Francisco Lupus Outcomes Study (n = 728). PROs (Medical Outcomes Study Short Form 36 [SF-36] subscales), self-rated health, and depression (Center for Epidemiologic Studies Depression scale [CES-D]) from 2007 (baseline data [T0]) were used to predict mortality (censored 2015). Univariate Cox regression analyses were completed for each PRO as a predictor of mortality, and multivariate Cox regression with covariates for each PRO separately. Covariates were age, sex, race/ethnicity, poverty, disease duration, disease activity (Systemic Lupus Activity Questionnaire), and damage (Brief Index of Lupus Damage).

resultsThe mean ± SD age of patients was 50.6 ± 12.6 years. Ninety-two percent of patients were women and 68.5% were white. There were 71 deaths (9.1%). In univariate analyses, both the SF-36 physical component subscale score and self-rated health were associated with mortality, and the SF-36 mental health subscale and CES-D scores were not associated with mortality. In multivariate analyses, lower scores of SF-36 physical function at T0 independently predicted mortality after controlling for all other covariates (hazard ratio 0.97 [95% confidence interval 0.94-0.99]; P < 0.01).

conclusionPatient-reported physical function independently predicted mortality in SLE, even after accounting for demographics (including poverty) and disease (duration, activity, and damage). Because PROs are easy to assess, they may be used to triage, track, and guide early interventions for those at high risk of mortality in SLE.

Indexed as

Patient Reported Outcome MeasuresAdultFemaleHumansLupus Erythematosus, SystemicMaleMiddle Aged

Identifiers

PMID30144293
PMCPMC6387860
OpenAlexW2888359849

What OpenQuestion holds

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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.