Evidence map›Paper›PMID 36618760›Full record

ArticleInternational journal of hepatology2022

Hepatitis C Seroconversion Remains High among Patients with Regular Hemodialysis: Study of Associated Risk Factors.

Ni Wayan Wina Dharmesti, I Dewa Nyoman Wibawa, Yenny Kandarini

Open access · goldAbstract read
In one paragraph

Article in International journal of hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ni Wayan Wina DharmestiDivision of Gastroentero-Hepatology, Internal Medicine Department, Faculty of Medicine Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia.ORCID https://orcid.org/0000-0003-1930-1025
I Dewa Nyoman WibawaDivision of Gastroentero-Hepatology, Internal Medicine Department, Faculty of Medicine Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia.ORCID https://orcid.org/0000-0001-5190-3072
Yenny KandariniDivision of Nephrology, Internal Medicine Department, Faculty of Medicine Udayana University/Sanglah Hospital, Denpasar, Bali, Indonesia.ORCID https://orcid.org/0000-0002-6065-1206
Udayana University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: An analytical cross-sectional study involving patients from 2 dialysis units (1 referral hospital and 1 private dialysis unit) in Denpasar, Bali, Indonesia, from January 2020 to December 2021. We evaluated age, gender, duration of hemodialysis, vascular access, history of transfusion, history of surgery, diabetes mellitus, hepatitis B, human immunodeficiency virus (HIV) infection, and type of dialyzer as possible risk factors of hepatitis C seroconversion among hemodialysis patients. Results: A total of 338 hemodialysis patients were enrolled in this study. We found hepatitis C seroconversion in 94 patients (27.8%), all of which occurred after regular dialysis was started. Vascular access type (OR 42.07, 95% CI 5.757-307.472) and dialyzer reuse (OR 8.324, 95% CI 4.319-16.044) were showing a statistically significant association with hepatitis C seroconversion. A separate analysis on each dialysis unit found common evidence that the duration of dialysis was significantly associated with hepatitis C infection among hemodialysis patients. Conclusion: Hepatitis C seroconversion among dialysis patients remains high. Factors related to the dialysis procedure itself played a major role in transmitting the virus.

Identifiers

PMID36618760
PMCPMC9815928
OpenAlexW4313331516

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.