Evidence map›Paper›PMID 27313473›Full record

ReviewInfection and drug resistance2016

Conceptual framework for outcomes research studies of hepatitis C: an analytical review.

Urbano Sbarigia, Tom R Denee, Norris G Turner, George J Wan, Alan Morrison, Anna S Kaufman, Gary Rice, Geoffrey M Dusheiko

Open access · goldAbstract readReview
In one paragraph

Review in Infection and drug resistance, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 4 institutions in 3 countries.

Urbano SbarigiaJanssen Pharmaceutica, Beerse, Belgium, USA.
Tom R DeneeJanssen Pharmaceutica, Beerse, Belgium, USA.
Norris G TurnerJohnson & Johnson Health Care Systems, Inc., Titusville, NJ, USA.
George J WanMallinckrodt Pharmaceuticals, St. Louis, MO, USA.
Alan MorrisonScribCo, Effort, PA, USA.
Anna S KaufmanScribCo, Effort, PA, USA.
Gary RiceDiplomat Specialty Pharmacy, Flint, MI, USA.
Geoffrey M DusheikoThe University College London Medical Institute for Liver and Digestive Health, London, UK; Kings College Hospital, London, UK.
Janssen (Belgium) · BEJohnson & Johnson (United States) · USMallinckrodt (United States) · USUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus infection is one of the main causes of chronic liver disease worldwide. Until recently, the standard antiviral regimen for hepatitis C was a combination of an interferon derivative and ribavirin, but a plethora of new antiviral drugs is becoming available. While these new drugs have shown great efficacy in clinical trials, observational studies are needed to determine their effectiveness in clinical practice. Previous observational studies have shown that multiple factors, besides the drug regimen, affect patient outcomes in clinical practice. Here, we provide an analytical review of published outcomes studies of the management of hepatitis C virus infection. A conceptual framework defines the relationships between four categories of variables: health care system structure, patient characteristics, process-of-care, and patient outcomes. This framework can provide a starting point for outcomes studies addressing the use and effectiveness of new antiviral drug treatments.

Indexed as

antiviral agentschronic hepatitis Ccombination drug therapyhumanstreatment outcome

Identifiers

PMID27313473
PMCPMC4890693
OpenAlexW2411940160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.