Evidence map›Paper›PMID 34074934›Full record

ArticleJournal of the Chinese Medical Association : JCMA2021

The association between hepatitis C virus infection and renal function.

Gantsetseg Gantumur, Batbold Batsaikhan, Ching-I Huang, Ming-Lun Yeh, Chung-Feng Huang, Yi-Hung Lin, Tzu-Chun Lin, Po-Cheng Liang, Ta-Wei Liu, Jia-Jung Lee and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2021. 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
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Renal Function in Chronic Hepatitis C Patients in Mongolia.Diagnostics (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Associations between liver function parameters and poor clinical outcomes in peritoneal dialysis patients.Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy · 2023
    Review
  7. To do one and to get more: Part I. Diabetes and bone.Journal of the Chinese Medical Association : JCMA · 2022
    Review
  8. Article
  9. Comprehensive Diagnostics of Diabetic Nephropathy by Transcriptome RNA Sequencing.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  10. 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

17 authors at 4 institutions in 2 countries.

Gantsetseg GantumurGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Batbold BatsaikhanDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Ching-I HuangGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Ming-Lun YehHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Chung-Feng HuangHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Yi-Hung LinHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Tzu-Chun LinHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Po-Cheng LiangHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Ta-Wei LiuHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Jia-Jung LeeSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Yi-Ching LinSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
I-Ling LinDepartment of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Jee-Fu HuangHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Wan-Long ChuangHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Ming-Lung YuHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Hung-Pin TuDepartment of Public Health and Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Chia-Yen DaiHepatobiliary Section, Department of Internal Medicine & Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC.
Kaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWMongolian National University of Medical Sciences · MNNational Sun Yat-sen University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between hepatitis C virus (HCV) infection and chronic kidney disease (CKD) still remains controversial. We aimed to investigate whether HCV really affects renal function, and to analyze the association between clinical effects of CHC and decreased kidney function (assessed by glomerular filtration rate (eGFR) level).

methodsAn estimated 3360 patients with HCV infection and 3360 age- and sex-matched community-based control individuals without HCV were enrolled (1:1, case and control ratio) in this study between 2004 and 2016. We used the modification of diet in renal diseases to calculate eGFR. Demographic and laboratory parameters were assessed, and appropriate statistical methods were performed for the analysis.

resultsMultivariate logistic regression analysis revealed that serum alanine aminotransferase level (odds ratio [OR] 0.998; 95% confidence interval [CI] 0.997-0.999; P = 0.001), platelet count (OR 0.997; 95% CI 0.995-0.999; p = 0.002), and hypertension (OR 1.31; 95% CI 1.03-1.66; P = 0.027) were significantly associated with HCV infection and serum triglyceride levels (OR 1.001; 95% CI 1.00-1.002; p = 0.005), platelet count (OR 0.996; 95% CI 0.995-0.997; p < 0.001), body mass index (BMI) >25 (OR 1.43; 95% CI 1.23-1.67; p < 0.001), hypertension (OR 1.69; 95% CI 1.42-1.99; p < 0.001), hyperlipidemia (OR 1.32; 95% CI 1.02-1.71; p = 0.035), and diabetes (OR 1.33; 95% CI 1.03-1.71; p = 0.032) were significantly associated with a low eGFR (<90 mL/min/m3) in control subjects. The BMI >25 kg/m2, hypertension, and diabetes were found to be associated with low eGFR interaction with the HCV infection, via a multivariate analysis.

conclusionOur study found that the patients with HCV infection are associated with a low eGFR compared with non-HCV-infected patients. This association is consistent in obese, diabetic, and hypertensive patients.

Indexed as

AdultDiabetes MellitusFemaleGlomerular Filtration RateHepatitis C, ChronicHumansHyperlipidemiasHypertensionKidney DiseasesMaleMiddle Aged

Identifiers

PMID34074934
PMCPMC12966052
OpenAlexW3164237250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.