Evidence map›Paper›PMID 30589503›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019

Optimal timing of hepatitis C treatment among HIV/HCV coinfected ESRD patients: Pre- vs posttransplant.

Brittany A Shelton, Gideon Berdahl, Deirdre Sawinski, Benjamin P Linas, Peter P Reese, Margaux N Mustian, Rhiannon D Reed, Paul A MacLennan, Jayme E Locke

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Brittany A SheltonUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.
Gideon BerdahlUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.
Deirdre SawinskiUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Benjamin P LinasBoston University School of Medicine, Boston, Massachusetts.
Peter P ReeseUniversity of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Margaux N MustianUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.
Rhiannon D ReedUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.
Paul A MacLennanUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.
Jayme E LockeUniversity of Alabama at Birmingham Comprehensive Transplant Institute, Birmingham, Alabama.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yuhua Bao · 2015 to 2026
$20.7M
Genetic, Environmental & Histologic Basis for Kidney Disease Risk among Persons Living with HIVR01DK117675 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LOCKE, JAYME ELIZABETH, SAWINSKI, DEIRDRE · 2018 to 2024
$4.6M
Simulation Modeling to Improve HIV/HCV Screening, Treatment and CareR01DA031059 · NIDA · BOSTON MEDICAL CENTER · PI LINAS, BENJAMIN P. · 2012 to 2015
$2.1M
NIAID NIH HHS P30 AI042853NIDA NIH HHS P30 DA040500NIDA NIH HHS R01 DA031059NIDDK NIH HHS R01 DK117675
6 · The paper itself

Abstract

Patients with end-stage renal disease (ESRD) who are coinfected with hepatitis C virus (HCV) and human immunodeficiency virus (HIV) have access to effective treatment options for HCV infection. However, they also have access to HCV-infected kidneys, which historically afford shorter times to transplantation. Given the high waitlist mortality and rapid progression of liver fibrosis among coinfected kidney-only transplant candidates, identification of the optimal treatment strategy is paramount. Two strategies, treatment pre- and posttransplant, were compared using Monte Carlo microsimulation of 1 000 000 candidates. The microsimulation was stratified by liver fibrosis stage at waitlist addition and wait-time over a lifetime time horizon. Treatment posttransplant was consistently cost-saving as compared to treatment pretransplant due to the high cost of dialysis. Among patients with low fibrosis disease (F0-F1), treatment posttransplant also yielded higher life months (LM) and quality-adjusted life months (QALM), except among F1 candidates with wait times ≥ 18 months. For candidates with advanced liver disease (F2-F4), treatment pretransplant afforded more LM and QALM unless wait time was <18 months. Moreover, treatment pretransplant was cost-effective for F2 candidates with wait times >71 months and F3 candidates with wait times >18 months. Thus, optimal timing of HCV treatment differs based on liver disease severity and wait time, favoring pretransplant treatment when cirrhosis development prior to transplant seems likely.

Indexed as

Kidney TransplantationAntiviral AgentsCoinfectionComputer SimulationCost-Benefit AnalysisCost SavingsDisease ProgressionDrug Administration ScheduleFemaleHepatitis C, ChronicHIV InfectionsHumansKidney Failure, ChronicLiver CirrhosisMaleMiddle AgedAntiviral Agentshealth services and outcomes researchinfection and infectious agents - viral: hepatitis Cinfection and infectious agents - viral: human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS)kidney transplantation/nephrology

Identifiers

PMID30589503
PMCPMC6538449

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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.