Evidence map›Paper›PMID 32533524›Full record

SynthesisPharmacoEconomics2020

Real World Cost-of-Illness Evidence in Hepatitis C Virus: A systematic review.

T Joseph Mattingly, Bryan L Love, Bilal Khokhar

Open access · hybridAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Clinical and demographic characteristics of participants in a hepatitis C treatment trial in rural Kentucky: How policies around treatment access may impact elimination efforts in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Article
  5. The effect of hepatitis C-associated premature deaths on labour productivity losses in Spain: a ten-year analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  6. 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

3 authors at 3 institutions in 1 country.

T Joseph MattinglyDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, 220 Arch Street, 12th Floor, Baltimore, MD, 21201, USA. jmattingly@rx.umaryland.edu.ORCID 0000-0001-7786-5780
Bryan L LoveDepartment of Clinical Pharmacy and Outcomes Sciences, Center for Outcomes Research and Evaluation, University of South Carolina College of Pharmacy, Columbia, SC, USA.ORCID 0000-0002-9221-9143
Bilal KhokharGeneral Dynamics Information Technology, Silver Spring, MD, USA.ORCID 0000-0003-0143-1390
General Dynamics (United States) · USUniversity of Maryland, Baltimore · USUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe introduction of direct-acting antivirals (DAAs) represents a potential clinical cure for hepatitis C virus (HCV) infection. Identification of costs associated with different stages of untreated disease through cost-of-illness (COI) evaluation helps inform policy decisions and cost-effectiveness analyses (CEAs). This study's objective was to review published real-world costs for patients with HCV to estimate the COI across different stages of disease progression.

methodsA literature search of EMBASE, Scopus, and PubMed from January 1, 2010 to August 31, 2019 was conducted to identify real-world evidence related to HCV. Data extraction included citation details, population, study type, costing method used, currency and inflation adjustments, and disease-specific costs. Standardized costing method categories (sum all medical, sum diagnosis specific, matching, regression, other incremental, and other total) were assigned. The risk of bias was assessed at the outcome level for influence on costs attributable to HCV.

resultsThe search strategy identified 278 studies, with 31 included in the final review after inclusion and exclusion criteria were applied. Retrospective cohorts (77%) and cross-sectional analyses (16%) were most frequently encountered. Sum Diagnosis Specific was the most common costing method (39%), followed by Regression (32%). Of the 31 studies analyzed, 35% included costs that would be included in a societal model. Costs were identified for various stages and complications related to HCV disease progression. Several studies included were determined to have a high (48%) or moderate risk (42%) of bias related to COI estimates.

conclusionCost estimates for formal, informal, and non-health care services were identified in this review, but several challenges still exist in fully quantifying HCV burden. Future modeling studies including cost inputs should critically evaluate the risk of bias based on costing methods and data sources.

Indexed as

HepacivirusHepatitis CAntiviral AgentsCross-Sectional StudiesHumansRetrospective StudiesAntiviral Agents

Identifiers

PMID32533524
OpenAlexW3035618712

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.