Evidence map›Paper›PMID 36328993›Full record

ArticleKidney research and clinical practice2023

Hemodialysis facility star rating affects mortality in chronic hemodialysis patients: a longitudinal observational cohort study.

Hayne Cho Park, Hyung Yun Choi, Do Hyoung Kim, AJin Cho, Young Eun Kwon, Dong-Ryeol Ryu, Ki Hwa Yang, Eun Mi Won, Ji Hyeon Shin, Jinseog Kim and 1 more

Abstract read
In one paragraph

Article in Kidney research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Lifesaving power of preparedness in dialysis units.Kidney research and clinical practice · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Management of high-flow arteriovenous access.Kidney research and clinical practice · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. 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

11 authors.

Hayne Cho ParkDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Hyung Yun ChoiKorean Society of Nephrology, Seoul, Republic of Korea.
Do Hyoung KimDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
AJin ChoDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Young Eun KwonDepartment of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea.
Dong-Ryeol RyuDepartment of Internal Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
Ki Hwa YangHealthcare Review and Assessment Committee, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Eun Mi WonDivision of Chronic Disease Assessment, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Ji Hyeon ShinDivision of Quality Assessment Management, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
Jinseog KimDepartment of Bigdata and Applied Statistics, College of Science and Technology, Dongguk University, Gyeongju, Republic of Korea.
Young-Ki LeeDepartment of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany countries have their own hemodialysis (HD) quality assurance programs and star rating systems for HD facilities. However, the effects of HD quality assurance programs on patient mortality are not well understood. Therefore, in the present study, the effects of the Korean HD facility star rating on patient mortality in maintenance HD patients were evaluated.

methodsThis longitudinal, observational cohort study included 35,271 patients receiving HD treatment from 741 facilities. The fivestar ratings of HD facilities were determined based on HD quality assessment data from 2015, which includes 12 quality measures in structural, procedural, and outcome domains. The patients were grouped into high (three to five stars) and low (one or two stars) groups based on HD facility star rating. Cox proportional hazards model was used to evaluate the effects of star rating on patient mortality during the mean follow-up duration of 3 years.

resultsThe patient ratio between high and low HD facility star rating groups was 82.0% vs. 18.0%. The patients in the low star rating group showed lower single-pool Kt/V and higher calcium and phosphorus levels compared with subjects in the high star rating group. After adjusting for sociodemographic and clinical parameters, the HD facility star rating independently increased the mortality risk (hazard ratio, 1.11; 95% confidence interval, 1.04-1.18; p = 0.002).

conclusionThe HD facilities with low star rating showed higher patient mortality.

Indexed as

Health careHealth care quality assuranceMortalityOutcome assessmentRenal dialysis

Identifiers

PMID36328993
PMCPMC9902734

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Registered trials

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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.