Evidence map›Paper›PMID 32087763›Full record

Observational studyArthritis research & therapy2020

Investigating lupus retention in care to inform interventions for disparities reduction: an observational cohort study.

Christie M Bartels, Ann Rosenthal, Xing Wang, Umber Ahmad, Ian Chang, Nnenna Ezeh, Shivani Garg, Maria Schletzbaum, Amy Kind

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. The Relationship Between Neighborhood Disadvantage and Kidney Disease Progression in the Chronic Kidney Disease in Children (CKiD) Cohort.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Observational
  12. Review
  13. 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 at 3 institutions in 1 country.

Christie M BartelsDepartment of Medicine, Rheumatology Division, University of Wisconsin School of Medicine and Public Health, 1485 Highland Ave, Rm 4132, Madison, WI, 53705, USA. cb4@medicine.wisc.edu.ORCID 0000-0001-6523-0374
Ann RosenthalMedical College of Wisconsin, Milwaukee, WI, USA.
Xing WangDepartment of Biostatistics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Umber AhmadMedical College of Wisconsin, Milwaukee, WI, USA.
Ian ChangMedical College of Wisconsin, Milwaukee, WI, USA.
Nnenna EzehUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Shivani GargDepartment of Medicine, Rheumatology Division, University of Wisconsin School of Medicine and Public Health, 1485 Highland Ave, Rm 4132, Madison, WI, 53705, USA.
Maria SchletzbaumUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Amy KindHealth Services & Care Research Program, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
University of Wisconsin–Madison · USMedical College of Wisconsin · USWisconsin Department of Health Services · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Neighborhood Socioeconomic Disadvantage and Medicare's 30-Day Rehospitalization Policy: Eliminating Rehospitalization Disparities by Informing Policy Design and ImplementationR01MD010243 · NIMHD · UNIVERSITY OF WISCONSIN-MADISON · PI KIND, AMY J. · 2015 to 2019
$2.8M
6 · The paper itself

Abstract

backgroundSystemic lupus erythematous (SLE) disproportionately impacts patients of color and socioeconomically disadvantaged patients. Similar disparities in HIV were reduced through a World Health Organization-endorsed Care Continuum strategy targeting "retention in care," defined as having at least two annual visits or viral load lab tests. Using similar definitions, this study aimed to examine predictors of lupus retention in care, to develop an SLE Care Continuum and inform interventions to reduce disparities. We hypothesized that Black patients and those residing in disadvantaged neighborhoods would have lower retention in care.

methodsAbstractors manually validated 545 potential adult cases with SLE codes in 2013-2014 using 1997 American College of Rheumatology (ACR) or 2012 Systemic Lupus Erythematosus International Collaborating Clinics (SLICC) criteria. We identified 397 SLE patients who met ACR or SLICC criteria for definite lupus, had at least one baseline rheumatology visit, and were alive through 2015. Retention in care was defined as having two ambulatory rheumatology visits or SLE labs (e.g., complement tests) during the outcome year 2015, analogous to HIV retention definitions. Explanatory variables included age, sex, race, ethnicity, smoking status, neighborhood area deprivation index (ADI), number of SLE criteria, and nephritis. We used multivariable logistic regression to test our hypothesis and model predictors of SLE retention in care.

resultsAmong 397 SLE patients, 91% were female, 56% White, 39% Black, and 5% Hispanic. Notably, 51% of Black versus 5% of White SLE patients resided in the most disadvantaged ADI neighborhood quartile. Overall, 60% met visit-defined retention and 27% met complement lab-defined retention in 2015. Retention was 59% lower for patients in the most disadvantaged neighborhood quartile (adjusted OR 0.41, CI 0.18, 0.93). No statistical difference was seen based on age, sex, race, or ethnicity. More SLE criteria and non-smoking predicted greater retention.

conclusionsDisadvantaged neighborhood residence was the strongest factor predicting poor SLE retention in care. Future interventions could geo-target disadvantaged neighborhoods and design retention programs with vulnerable populations to improve retention in care and reduce SLE outcome disparities.

Indexed as

Healthcare DisparitiesLupus Erythematosus, SystemicSocioeconomic FactorsAdultCohort StudiesFemaleHumansMaleMiddle AgedRetention in CareHealth care qualityHealth disparitiesRetention in careSocial determinants of healthSystemic lupus erythematosus

Identifiers

PMID32087763
PMCPMC7036188
OpenAlexW3012051187

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.