Evidence map›Paper›PMID 29404448›Full record

ArticleHepatology communications2017

Potential epidemiologic, economic, and budgetary impacts of current rates of hepatitis C treatment in medicare and non-medicare populations.

John Wittenborn, Joanne Brady, Michelle Dougherty, David Rein

Abstract read
In one paragraph

Article in Hepatology communications, 2017. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

4 authors.

John WittenbornNORC at the University of Chicago, Chicago, IL.
Joanne BradyNORC at the University of Chicago, Chicago, IL.
Michelle DoughertyNORC at the University of Chicago, Chicago, IL.
David ReinNORC at the University of Chicago, Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We forecast the health and budgetary impact of hepatitis C (HCV) treatment on the Medicare program based on currently observed rates of treatment among Medicare and non-Medicare patients and identify the impact of higher rates of treatment among non-Medicare populations. We developed a computer microsimulation model to conduct an epidemiologic forecast, a budgetary impact analysis, and a cost-effectiveness analysis of the treatment of HCV based on three scenarios: 1) no treatment, 2) continuation of current-treatment rates, and 3) treatment rates among non-Medicare patients increased to match that of Medicare patients. The simulated population is based on National Health and Nutrition Examination Survey data. HCV progression rates and costs were calculated in Surveillance, Epidemiology, and End Results Program Medicare 5% claims data from the Chronic Hepatitis Cohort Study and published literature. We estimate that 13.6% of patients with HCV in the United States are enrolled in Medicare, but 75% will enter Medicare in the next 20 years. Medicare patients were over 5 times as likely to be treated in 2014-2015 as other patients. Medicare paid over $9 billion in treatment costs in both 2015 and 2016 and will total $28.4 billion from 2017-2026. Increasing treatment rates among non-Medicare patients would lead to 234,000 more patients being treated, reduce HCV mortality by 19%, and decrease Medicare costs by $18.6 billion from 2017-2026. We find that treatment remains cost-effective under most assumptions, costing $31,718 per quality adjusted life year gained.

Identifiers

PMID29404448
PMCPMC5721427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.