Evidence map›Paper›PMID 29193893›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2018

Sex Differences in Health Care Utilization, End-Stage Renal Disease, and Mortality Among Medicaid Beneficiaries With Incident Lupus Nephritis.

Candace H Feldman, Anna Broder, Hongshu Guan, Jinoos Yazdany, Karen H Costenbader

Open access · greenAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  7. Lupus nephritis.Nature reviews. Disease primers · 2025
    Review
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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 3 institutions in 1 country.

Candace H FeldmanBrigham and Women's Hospital, Boston, Massachusetts.
Anna BroderMontefiore Medical Systems and Albert Einstein College of Medicine, Bronx, New York.
Hongshu GuanBrigham and Women's Hospital, Boston, Massachusetts.
Jinoos YazdanyUniversity of California, San Francisco.
Karen H CostenbaderBrigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · USAlbert Einstein College of Medicine · USUniversity of California, San Francisco · US

Funding

Sociodemographic Disparities in SLE Incidence: Behavioral and Psychosocial FactorsR01AR057327 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2009 to 2019
$6.2M
Racial/ethnic and socioeconomic disparities in biologic and clinical SLE outcomesU01DP005120 · DP · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DALL'ERA, MARIA, YAZDANY, JINOOS · 2014 to 2018
$4.8M
Cardiovascular Disease Epidemiology in Patients with LupusK24AR066109 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2014 to 2023
$1.7M
Avoidable Acute Care Use among Patients with LupusK23AR071500 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI FELDMAN, CANDACE HILLARY · 2017 to 2021
$945k
The impact of hydroxychloroquine use on thrombosis and mortality in lupus-related end stage renal diseaseK23AR068441 · NIAMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BRODER, ANNA · 2017 to 2021
$832k
ACL HHS U01DP005120NCCDPHP CDC HHS U01 DP005120NCCDPHP CDC HHS U01 DP006486NIAMS NIH HHS K23 AR068441NIAMS NIH HHS K23 AR071500NIAMS NIH HHS K24 AR066109NIAMS NIH HHS R01 AR057327
6 · The paper itself

Abstract

objectiveWhile systemic lupus erythematosus and lupus nephritis (LN) disproportionately affect females, previous studies suggest that males may experience poorer outcomes. We undertook this study to investigate sex differences in health care utilization, end-stage renal disease (ESRD), and mortality among patients with LN receiving Medicaid, public insurance for low-income individuals.

methodsWithin the Medicaid Analytic eXtract (MAX) from 29 states (from 2000 to 2010), we used billing claims to identify individuals ages 5-65 years with incident LN (positive predictive value 80%). MAX data were linked to the US Renal Data System to determine ESRD and to Social Security Death Index files to determine death. We estimated adjusted incidence rate ratios (IRRs) by sex for health care utilization using Poisson regression, and we used multivariable proportional hazards models to compare risks of ESRD and death by sex.

resultsOf 2,750 patients with incident LN, 283 (10%) were male. The mean ± SD follow-up period for both sexes was 3.1 ± 2.3 years. The mean ± SD age was 29.6 ± 13.9 years among females and 24.7 ± 14.1 years among males (P < 0.01). Males had fewer outpatient visits (IRR 0.88 [95% confidence interval (95% CI) 0.80-0.97]) and fewer emergency department visits (IRR 0.75 [95% CI 0.63-0.90]). The 5-year cumulative incidence of ESRD was 22.3% in males and 21.2% in females. The 5-year cumulative incidence of death was 9.4% in males and 9.8% in females. Comparing males to females, there were no sex differences in ESRD (subdistribution hazard ratio [HR] 1.05 [95% CI 0.76-1.45]) or death (HR 0.81 [95% CI 0.47-1.35]).

conclusionIn this cohort of patients with incident LN, ESRD and mortality were extremely high overall but were not increased among males compared to females. In this vulnerable population, biologic and health care utilization differences by sex may not significantly affect outcomes.

Indexed as

AdolescentAdultAgedChildChild, PreschoolFemaleHumansIncidenceKidney Failure, ChronicLupus NephritisMaleMedicaidMiddle AgedPatient Acceptance of Health CareSex FactorsSurvival Rate

Identifiers

PMID29193893
PMCPMC5826885
OpenAlexW2768702680

What OpenQuestion holds

Textmetadata
LicenceTDM
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.