Evidence map›Paper›PMID 31449554›Full record

ArticlePloS one2019

Setting ambitious targets for surveillance and treatment rates among patients with hepatitis C related cirrhosis impacts the cost-effectiveness of hepatocellular cancer surveillance and substantially increases life expectancy: A modeling study.

Jennifer Uyei, Tamar H Taddei, David E Kaplan, Michael Chapko, Elizabeth R Stevens, R Scott Braithwaite

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04615091 ("Prognostic Role of Portal Hypertension Assessed by Non-invasive Methods to Stratify Surgical Risk in Compensated Advanced Chronic Liver Disease Patients Undergoing Elective Extrahepatic Surgery), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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.

NCT04615091 unknown statusnot on this mapstarted 2020, after this paper: background citation

"Prognostic Role of Portal Hypertension Assessed by Non-invasive Methods to Stratify Surgical Risk in Compensated Advanced Chronic Liver Disease Patients Undergoing Elective Extrahepatic Surgery: ELASTOSURGERY STUDY."

TypeobservationalSponsorAzienda Ospedaliera Universitaria Integrata VeronaRan2020 to 2022Enrolled250ConditionsAdvanced Chronic Liver Disease, Surgery--Complications
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  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

6 authors.

Jennifer UyeiDivision of Comparative Effectiveness and Decision Science, Department of Population Health, New York University School of Medicine, New York, NY, United States of America.
Tamar H TaddeiVA Connecticut-Healthcare System, West Haven, CT, United States of America.
David E KaplanCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, United States of America.
Michael ChapkoCenter of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound, Seattle, WA, United States of America.
Elizabeth R StevensDivision of Comparative Effectiveness and Decision Science, Department of Population Health, New York University School of Medicine, New York, NY, United States of America.ORCID 0000-0001-6063-1523
R Scott BraithwaiteDivision of Comparative Effectiveness and Decision Science, Department of Population Health, New York University School of Medicine, New York, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocelluar cancer (HCC) is the leading cause of death among people with hepatitis C virus (HCV)-related cirrhosis. Our aim was to determine the optimal surveillance frequency for patients with HCV-related compensated cirrhosis.

methodsWe developed a decision analytic Markov model and validated it against data from the Veterans Outcomes and Costs Associated with Liver Disease (VOCAL) study group and published epidemiologic studies. Four strategies of different surveillance intervals were compared: no surveillance and ultrasound surveillance every 12, 6, and 3 months. We estimated lifetime survival, life expectancy, quality adjusted life years (QALY), total costs associated with each strategy, and incremental cost effectiveness ratios. We applied a willingness to pay threshold of $100,000. Analysis was conducted for two scenarios: a scenario reflecting current HCV and HCC surveillance compliance rates and treatment use and an aspirational scenario.

resultsIn the current scenario the preferred strategy was 3-month surveillance with an incremental cost-effectiveness ratio (ICER) of $7,159/QALY. In the aspirational scenario, 6-month surveillance was preferred with an ICER of $82,807/QALY because treating more people with HCV led to a lower incidence of HCC. Sensitivity analyses suggested that surveillance every 12 months would suffice in the particular circumstance when patients are very likely to return regularly for testing and when appropriate HCV and HCC treatment is readily available. Compared with the current scenario, the aspirational scenario resulted in a 1.87 year gain in life expectancy for the cohort because of large reductions in decompensated cirrhosis and HCC incidence.

conclusionsHCC surveillance has good value for money for patients with HCV-related compensated cirrhosis. Investments to improve adherence to surveillance should be made when rates are suboptimal. Surveillance every 12 months will suffice when patients are very likely to return regularly for testing and when appropriate HCV and HCC treatment is readily available.

Indexed as

Cost-Benefit AnalysisLife ExpectancyModels, BiologicalAgedDisease ProgressionHepatitis CHumansLiver CirrhosisLiver NeoplasmsMiddle AgedReproducibility of Results

Identifiers

PMID31449554
PMCPMC6709904

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Registered trials

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.