Evidence map›Paper›PMID 25809738›Full record

ArticleCurrent treatment options in gastroenterology2015

Post-liver transplant hepatitis C therapy.

Robert S Rahimi, Jacqueline G O'Leary

Abstract read
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In one paragraph

Article in Current treatment options in gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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.

Robert S RahimiBaylor Simmons Transplant Institute, Baylor University Medical Center, 3410 Worth St Suite 860, Dallas, TX, 75246, USA.
Jacqueline G O'Leary
Baylor University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementPharmacologic therapies to treat chronic hepatitis C virus (HCV) have rapidly evolved over the past few years and resulted in short courses of all oral multidrug cocktails of direct-acting antivirals (DAAs) that achieve sustained virologic response (SVR) rates consistently >90 % in low-risk patient populations. Of note, these same cocktails are now being used off-label with unprecedented success in patients post-liver transplantation (LT) revolutionizing how we think about treating HCV in patients who need and have a liver transplant. For patients who are already post-LT, the tolerability of therapy has improved affording most patients the opportunity to be treated and cured. In patients not on cyclosporine, sofosbuvir (SOF) and simeprevir with or without ribavirin (RBV) showed in a pooled analysis an SVR12 rate of 87-90 %. Paritaprevir, ritonavir, ombitasvir, dasabuvir, and ribavirin treatment has also been studied post-LT and demonstrated a 97 % SVR12 rate with 24 weeks of therapy in patients with early-stage fibrosis. Ledipasvir + SOF + RBV for 12 or 24 weeks achieved SVR12 rates of >96 % in post-LT patients including those with compensated cirrhosis. We are fortunate to have truly entered a new era of HCV therapy, where non-decompensated post-LT patients are no longer disadvantaged and can enjoy SVR rates similar to non-transplant patients. These well-tolerated medications call into question the ideal time to cure HCV. Specifically, short courses of interferon-free medication may be able to be administered peri-transplant in order to spare the new graft all the potential complications of viral infection. At this time, the best-tolerated and most cost-effective approach to this important new strategy is under active investigation.

Identifiers

PMID25809738
OpenAlexW2004189791

What OpenQuestion holds

Textmetadata
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.