Evidence map›Paper›PMID 35783631›Full record

ArticleFrontiers in medicine2022

Hepatitis C Prevalence, Incidence, and Treatment in Chinese Hemodialysis Patients: Results From the Dialysis Outcomes and Practice Patterns Study-China (2019-21).

Liangying Gan, Dongyu Wang, Brian Bieber, Keith McCullough, Michel Jadoul, Ronald L Pisoni, Fanfan Hou, Xinling Liang, Zhaohui Ni, Xiaonong Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Observational
  2. Article
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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

12 authors at 7 institutions in 3 countries.

Liangying GanDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Dongyu WangArbor Research Collaborative for Health, Ann Arbor, MI, United States.
Brian BieberArbor Research Collaborative for Health, Ann Arbor, MI, United States.
Keith McCulloughArbor Research Collaborative for Health, Ann Arbor, MI, United States.
Michel JadoulCliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium.
Ronald L PisoniArbor Research Collaborative for Health, Ann Arbor, MI, United States.
Fanfan HouState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center of Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xinling LiangDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, China.
Zhaohui NiRenal Division, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaonong ChenDivision of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuqing ChenRenal Division, Peking University First Hospital, Beijing, China.
Li ZuoDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Arbor Research Collaborative for Health · USPeking University People's Hospital · CNShanghai Jiao Tong University · CNGuangdong Academy of Medical Sciences · CNNanfang Hospital · CNPeking University First Hospital · CNUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prior work from the Dialysis Outcomes and Practice Patterns Study (DOPPS) showed HCV prevalence in China in 2012-2015 being in the upper third and HCV incidence the 2nd highest among 15 different countries/regions investigated. The goal of the present investigation was to: (1) determine if HCV prevalence and incidence has changed, and (2) collect detailed data to understand how HCV is treated, monitored, and managed in Chinese HD facilities and non-dialysis chronic kidney disease (CKD) clinics. Data and Methods: Detailed data for 1,700 randomly selected HD patients were reported by 39 randomly selected HD facilities from Beijing, Shanghai, and Guangzhou participating in the DOPPS 7-China study from 2019 to 2021. The study site medical directors completed a survey regarding numerous aspects of HCV treatment and management in HD and ND-CKD patients. Results: In this 2019 to 2021 cohort, HCV prevalence was 7.4%, which was lower than the 14.8 and 11.5% HCV prevalence for the 2009-2011 and 2012-2015 cohorts, respectively. HCV incidence of 1.2 cases per 100 pt-yrs also was lower compared to the incidence of 2.1 for the 2012-2015 cohort. Although the great majority of study site medical directors indicated that all or nearly HCV+ patients should be treated for their HCV, very few HCV+ patients have been treated presumably due to substantial cost barriers for affording the new direct acting antivirals (DAAs). The randomly selected facilities in our DOPPS 7-China study appear to have excellent programs in place for frequent monitoring of patients and staff for HCV, education of staff, and referral of HCV cases to external infectious disease, gastroenterology, and liver disease specialists. Liver biopsies were not commonly performed in HCV+ HD patients. HCV genotyping also was rarely performed in participating units. Conclusions: Our study indicates a 50% decline in HCV prevalence and a >40% decline in HCV incidence in Chinese HD patients over the past 10-12 yrs. Chinese HD facilities and associated specialists appear to be well-equipped and organized for successfully treating and managing their HCV+ HD and CKD patients in order to achieve the WHO goal of eliminating HCV by 2030.

Indexed as

chronic kidney diseaseDialysis Outcomes and Practice Patterns Studyhemodialysishepatitis C virusincidenceprevalence

Identifiers

PMID35783631
PMCPMC9240809
OpenAlexW4282929468

What OpenQuestion holds

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LicenceCC BY
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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.