Evidence map›Paper›PMID 34787655›Full record

ArticleJAMA network open2021

COVID-19 Risk Factors and Mortality Outcomes Among Medicare Patients Receiving Long-term Dialysis.

Stephen Salerno, Joseph M Messana, Garrett W Gremel, Claudia Dahlerus, Richard A Hirth, Peisong Han, Jonathan H Segal, Tao Xu, Dan Shaffer, Amy Jiao and 14 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

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  11. Kidney involvement and anemia in COVID-19 infection.World journal of nephrology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 2 institutions in 1 country.

Stephen SalernoUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Joseph M MessanaUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Garrett W GremelUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Claudia DahlerusUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Richard A HirthUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Peisong HanUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Jonathan H SegalUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Tao XuUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Dan ShafferUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Amy JiaoUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Jeremiah SimonUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Lan TongUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Karen WisniewskiUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Tammie NahraUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Robin PadillaUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Kathryn SleemanUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Tempie ShearonUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Sandra CallardUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Alexander YaldoUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Lisa BorowiczUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
Wilfred AgbenyikeyCenters for Medicare & Medicaid Services, Baltimore, Maryland.
Golden M HortonCenters for Medicare & Medicaid Services, Baltimore, Maryland.
Jesse RoachCenters for Medicare & Medicaid Services, Baltimore, Maryland.
Yi LiUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor.
University of Michigan–Ann Arbor · USCenters for Medicare and Medicaid Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There is a need for studies to evaluate the risk factors for COVID-19 and mortality among the entire Medicare long-term dialysis population using Medicare claims data. Objective: To identify risk factors associated with COVID-19 and mortality in Medicare patients undergoing long-term dialysis. Design, Setting, and Participants: This retrospective, claims-based cohort study compared mortality trends of patients receiving long-term dialysis in 2020 with previous years (2013-2019) and fit Cox regression models to identify risk factors for contracting COVID-19 and postdiagnosis mortality. The cohort included the national population of Medicare patients receiving long-term dialysis in 2020, derived from clinical and administrative databases. COVID-19 was identified through Medicare claims sources. Data were analyzed on May 17, 2021. Main Outcomes and Measures: The 2 main outcomes were COVID-19 and all-cause mortality. Associations of claims-based risk factors with COVID-19 and mortality were investigated prediagnosis and postdiagnosis. Results: Among a total of 498 169 Medicare patients undergoing dialysis (median [IQR] age, 66 [56-74] years; 215 935 [43.1%] women and 283 227 [56.9%] men), 60 090 (12.1%) had COVID-19, among whom 15 612 patients (26.0%) died. COVID-19 rates were significantly higher among Black (21 787 of 165 830 patients [13.1%]) and Hispanic (13 530 of 86 871 patients [15.6%]) patients compared with non-Black patients (38 303 of 332 339 [11.5%]), as well as patients with short (ie, 1-89 days; 7738 of 55 184 patients [14.0%]) and extended (ie, ≥90 days; 10 737 of 30 196 patients [35.6%]) nursing home stays in the prior year. Adjusting for all other risk factors, residing in a nursing home 1 to 89 days in the prior year was associated with a higher hazard for COVID-19 (hazard ratio [HR] vs 0 days, 1.60; 95% CI 1.56-1.65) and for postdiagnosis mortality (HR, 1.31; 95% CI, 1.25-1.37), as was residing in a nursing home for an extended stay (COVID-19: HR, 4.48; 95% CI, 4.37-4.59; mortality: HR, 1.12; 95% CI, 1.07-1.16). Black race (HR vs non-Black: HR, 1.25; 95% CI, 1.23-1.28) and Hispanic ethnicity (HR vs non-Hispanic: HR, 1.68; 95% CI, 1.64-1.72) were associated with significantly higher hazards of COVID-19. Although home dialysis was associated with lower COVID-19 rates (HR, 0.77; 95% CI, 0.75-0.80), it was associated with higher mortality (HR, 1.18; 95% CI, 1.11-1.25). Conclusions and Relevance: These results shed light on COVID-19 risk factors and outcomes among Medicare patients receiving long-term chronic dialysis and could inform policy decisions to mitigate the significant extra burden of COVID-19 and death in this population.

Indexed as

MedicareRenal DialysisAgedCOVID-19EthnicityFemaleHumansKidney DiseasesMaleMiddle AgedNursing HomesProportional Hazards ModelsRetrospective StudiesRisk FactorsSARS-CoV-2United States

Identifiers

PMID34787655
PMCPMC8600389
OpenAlexW3212544729

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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.