Evidence map›Paper›PMID 31357952›Full record

ArticleBMC nephrology2019

Long-term outcomes among Medicare patients readmitted in the first year of hemodialysis: a retrospective cohort study.

Katherine H Ross, Bernard G Jaar, Janice P Lea, Tahsin Masud, Rachel E Patzer, Laura C Plantinga

Abstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Katherine H RossDepartment of Epidemiology, Emory Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0002-1176-3172
Bernard G JaarDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Janice P LeaDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Tahsin MasudDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Rachel E PatzerDepartment of Epidemiology, Emory Rollins School of Public Health, Atlanta, GA, USA.
Laura C PlantingaDepartment of Epidemiology, Emory Rollins School of Public Health, Atlanta, GA, USA. laura.plantinga@emory.edu.

Funding

AHRQ HHS R03 HS025018
6 · The paper itself

Abstract

backgroundReadmission within 30 days of hospital discharge is common and costly among end-stage renal disease (ESRD) patients. Little is known about long-term outcomes after readmission. We estimated the association between hospital admissions and readmissions in the first year of dialysis and outcomes in the second year.

methodsData on incident dialysis patients with Medicare coverage were obtained from the United States Renal Data System (USRDS). Readmission patterns were summarized as no admissions in the first year of dialysis (Admit-), at least one admission but no readmissions within 30 days (Admit+/Readmit-), and admissions with at least one readmission within 30 days (Admit+/Readmit+).We used Cox proportional hazards models to estimate the association between readmission pattern and mortality, hospitalization, and kidney transplantation, accounting for demographic and clinical covariates.

resultsAmong the 128,593 Medicare ESRD patients included in the study, 18.5% were Admit+/Readmit+, 30.5% were Admit+/Readmit-, and 51.0% were Admit-. Readmit+/Admit+ patients had substantially higher long-term risk of mortality (HR = 3.32 (95% CI, 3.21-3.44)), hospitalization (HR = 4.46 (95% CI, 4.36-4.56)), and lower likelihood of kidney transplantation (HR = 0.52 (95% CI, 0.44-0.62)) compared to Admit- patients; these associations were stronger than those among Admit+/Readmit- patients.

conclusionsPatients with readmissions in the first year of dialysis were at substantially higher risk of poor outcomes than either patients who had no admissions or patients who had hospital admissions but no readmissions. Identifying strategies to both prevent readmission and mitigate risk among patients who had a readmission may improve outcomes among this substantial, high-risk group of ESRD patients.

Indexed as

Renal DialysisAgedCohort StudiesFemaleHumansKidney Failure, ChronicMaleMedicareMiddle AgedPatient ReadmissionRetrospective StudiesTime FactorsTreatment OutcomeUnited StatesHemodialysisHospital readmissionsKidney transplantationMorbidityMortality

Identifiers

PMID31357952
PMCPMC6664786

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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.