Evidence map›Paper›PMID 29549269›Full record

ArticleScientific reports2018

Nonalcoholic fatty liver disease accelerates kidney function decline in patients with chronic kidney disease: a cohort study.

Hye Ryoun Jang, Danbee Kang, Dong Hyun Sinn, Seonhye Gu, Soo Jin Cho, Jung Eun Lee, Wooseong Huh, Seung Woon Paik, Seungho Ryu, Yoosoo Chang and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Liver fibrosis progression analyzed with AI predicts renal decline.JHEP reports : innovation in hepatology · 2025
    Article
  6. Review
  7. Review
  8. [Metabolic-associated fatty liver disease (MAFLD): a multisystemic disease beyond the liver].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  9. Article
  10. Review
  11. Observational
  12. Biomedicines · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. MAFLD and CKD: An Updated Narrative Review.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Hye Ryoun JangDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Danbee KangDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Kangbuk Samsung Hospital, Seoul, South Korea.
Dong Hyun SinnDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Seonhye GuCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University, Kangbuk Samsung Hospital, Seoul, South Korea.
Soo Jin ChoCenter for Health Promotion, Samsung Medical Center, Kangbuk Samsung Hospital, Seoul, South Korea.
Jung Eun LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Wooseong HuhDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Seung Woon PaikDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea.
Seungho RyuCenter for Total Health Studies, Kangbuk Samsung Hospital, Seoul, South Korea.
Yoosoo ChangCenter for Total Health Studies, Kangbuk Samsung Hospital, Seoul, South Korea.
Tariq ShafiDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Mariana LazoDepartments of Epidemiology and Medicine and Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Eliseo GuallarCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University, Kangbuk Samsung Hospital, Seoul, South Korea.
Juhee ChoDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Kangbuk Samsung Hospital, Seoul, South Korea. jcho@skku.edu.
Geum-Youn GwakDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, South Korea. gy.gwak@samsung.com.
Samsung Medical Center · KRJohns Hopkins University · USKangbuk Samsung Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the association of nonalcoholic fatty liver disease (NAFLD) and its severity with the decline in kidney function in patients with chronic kidney disease (CKD). We conducted a cohort study of 1,525 CKD patients who underwent repeated health check-up examinations from January 2003 through December 2013. NAFLD was diagnosed by ultrasonography and its severity was assessed by the NAFLD fibrosis score. At baseline, the prevalence of NAFLD was 40.9%, and the mean estimated glomerular filtration rate (eGFR) was 59.1 ml/min/1.73 m

Indexed as

AdolescentAdultDisease ProgressionFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProteinuriaRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsSeverity of Illness IndexYoung Adult

Identifiers

PMID29549269
PMCPMC5856790
OpenAlexW2802527152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.