Evidence map›Paper›PMID 25882829›Full record

ArticleJournal of the American Society of Nephrology : JASN2015

Risk Adjustment and the Assessment of Disparities in Dialysis Mortality Outcomes.

John Kalbfleisch, Robert Wolfe, Sarah Bell, Rena Sun, Joseph Messana, Tempie Shearon, Valarie Ashby, Robin Padilla, Min Zhang, Marc Turenne and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Measuring Emergency Care Survival: The Implications of Risk Adjusting for Race and Poverty.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2018
    Article
  5. Article
  6. Review
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

13 authors at 3 institutions in 1 country.

John KalbfleischKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Robert WolfeDepartment of Biostatistics, and.
Sarah BellKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Rena SunKidney Epidemiology and Cost Center.
Joseph MessanaKidney Epidemiology and Cost Center, Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; and.
Tempie ShearonKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Valarie AshbyKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Robin PadillaKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Min ZhangKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Marc TurenneArbor Research Collaborative for Health, Ann Arbor, Michigan.
Jeffrey PearsonArbor Research Collaborative for Health, Ann Arbor, Michigan.
Claudia DahlerusKidney Epidemiology and Cost Center, Department of Biostatistics, and.
Yi LiKidney Epidemiology and Cost Center, Department of Biostatistics, and yili@umich.edu.
Cancer Research And Biostatistics · USArbor Research Collaborative for Health · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardized mortality ratios (SMRs) reported by Medicare compare mortality at individual dialysis facilities with the national average, and are currently adjusted for race. However, whether the adjustment for race obscures or clarifies disparities in quality of care for minority groups is unknown. Cox model-based SMRs were computed with and without adjustment for patient race for 5920 facilities in the United States during 2010. The study population included virtually all patients treated with dialysis during this period. Without race adjustment, facilities with higher proportions of black patients had better survival outcomes; facilities with the highest percentage of black patients (top 10%) had overall mortality rates approximately 7% lower than expected. After adjusting for within-facility racial differences, facilities with higher proportions of black patients had poorer survival outcomes among black and non-black patients; facilities with the highest percentage of black patients (top 10%) had mortality rates approximately 6% worse than expected. In conclusion, accounting for within-facility racial differences in the computation of SMR helps to clarify disparities in quality of health care among patients with ESRD. The adjustment that accommodates within-facility comparisons is key, because it could also clarify relationships between patient characteristics and health care provider outcomes in other settings.

Indexed as

EthnicityAdolescentAdultAgedAlgorithmsBlack or African AmericanBlack PeopleFemaleHealthcare DisparitiesHealth Status DisparitiesHumansKidney Failure, ChronicMaleMedicareMiddle AgedProportional Hazards Modelsdialysisend-stage renal diseasemortalityoutcomesrisk factors

Identifiers

PMID25882829
PMCPMC4625664
OpenAlexW2121343722

What OpenQuestion holds

Textmetadata
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.