Evidence map›Paper›PMID 22308151›Full record

ArticleHepatitis monthly2011

Treatment of HCV patients before and after renal transplantation.

Ling-Yao Du, Hong Tang

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2011. 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
0.3field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Ling-Yao DuCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hong Tang
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextPatients with end-stage renal disease can easily acquire a hepatitis C virus (HCV) infection via several ways. An HCV infection is difficult to treat after renal transplantation due to the conflicting actions of immunosuppressant therapy to maintain the function of the transplanted kidney and viricidal interferon (IFN) or ribavirin (RBV) treatment. Antiviral therapy requires great caution to avoid the complex and potentially fatal pharmacological effects. In this review, we examined clinical challenges and potential solutions for this specific scenario. EVIDENCE ACQUISITIONS: We searched Pubmed (NLM), LISTA (EBSCO), Web of Science (TS). The management of patients on waiting list, the indications and regimens about treatment were studied.

resultsMore than forty papers about this topic were found, including seven small clinical trials. International consensus has been reached to test patients awaiting renal transplantation. HCV detection after renal transplantation warrants careful consideration of when to initiate antiviral therapy. Treatment will begin immediately if deteriorating liver function increases the risk for loss of renal function. The choice of regimen depends on the patient's renal function and is individualized under close observation. The immunosuppressive regimen will be adjusted accordingly before antiviral therapy is initiated.

conclusionsThe effects of modified antiviral therapy on these patients varies because of individual characteristics and disease state, and also because of the difficulty associated with conducting a large clinical trial to obtain statistically sound conclusions. The management before transplantation is important and when antiviral therapy needs to start, careful consideration of risks and benefits is needed before initiating this type of treatment.

Indexed as

Antiviral AgentsHepatitis CImmunosuppressionKidney Transplantation

Identifiers

PMID22308151
PMCPMC3269055
OpenAlexW2127281175

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.