Evidence map›Paper›PMID 29143620›Full record

ArticleBMC infectious diseases2017

Optimising diagnosis of viraemic hepatitis C infection: the development of a target product profile.

Elena Ivanova Reipold, Philippa Easterbrook, Alessandra Trianni, Nivedha Panneer, Douglas Krakower, Stefano Ongarello, Teri Roberts, Veronica Miller, Claudia Denkinger

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  12. Current advances in Hepatitis C diagnostics.Journal of biological engineering · 2024
    Review
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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 at 4 institutions in 2 countries.

Elena Ivanova ReipoldFIND, MSF Access Campaign, Geneva, Switzerland. elena.ivanova@finddx.org.
Philippa EasterbrookGlobal Hepatitis Programme, HIV Department, World Health Organization, Geneva, Switzerland.
Alessandra TrianniFIND, MSF Access Campaign, Geneva, Switzerland.
Nivedha PanneerForum for Collaborative HIV Research, Washington D.C, USA.
Douglas KrakowerBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Stefano OngarelloFIND, MSF Access Campaign, Geneva, Switzerland.
Teri RobertsFIND, MSF Access Campaign, Geneva, Switzerland.
Veronica MillerForum for Collaborative HIV Research, Washington D.C, USA.
Claudia DenkingerFIND, MSF Access Campaign, Geneva, Switzerland.
Foundation for Innovative New Diagnostics · CHBeth Israel Deaconess Medical Center · USHarvard University · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe current low access to virological testing to confirm chronic viraemic HCV infection in low- and middle-income countries (LMIC) is limiting the rollout of hepatitis C (HCV) care. Existing tests are complex, costly and require sophisticated laboratory infrastructure. Diagnostic manufacturers need guidance on the optimal characteristics a virological test needs to have to ensure the greatest impact on HCV diagnosis and treatment in LMIC. Our objective was to develop a target product profile (TPP) for diagnosis of HCV viraemia using a global stakeholder consensus-based approach.

methodsBased on the standardised process established to develop consensus-based TPPs, we followed five key steps. (i) Identifying key potential global stakeholders for consultation and input into the TPP development process. (ii) Informal priority-setting exercise with key experts to identify the needs that should be the highest priority for the TPP development; (iii) Defining the key TPP domains (scope, performance and operational characteristics and price). (iv) Delphi-like process with larger group of key stakeholder to facilitate feedback on the key TPP criteria and consensus building based on pre-defined consensus criteria. (v) A final consensus-gathering meeting for discussions around disputed criteria. A complementary values and preferences survey helped to assess trade-offs between different key characteristics.

resultsThe following key attributes for the TPP for a test to confirm HCV viraemic infection were identified: The scope defined is for both HCV detection as well as confirmation of cure. The timeline of development for tests envisioned in the TPP is 5 years. The test should be developed for use by health-care workers or laboratory technicians with limited training in countries with a medium to high prevalence of HCV (1.5-3.5% and >3.5%) and in high-risk populations in low prevalence settings (<1.5%). A clinical sensitivity at a minimum of 90% is considered sufficient (analytical sensitivity of the equivalent of 3000 IU/ml), particularly if the test increases access to testing through an affordable price, increase ease-of-use and feasibility on capillary blood. Polyvalency would be optimal (i.e. ability to test for HIV and others). The only characteristic that full agreement could not be achieved on was the price for a virological test. Discussants felt that to reach the optimal target price substantial trade-offs had to be made (e.g. in regards to sensitivity and integration).

conclusionThe TPP and V&P survey results define the need for an easy-to-use, low cost test to increase access to diagnosis and linkage to care in LMIC.

Indexed as

Antigens, ViralDiagnostic Tests, RoutineHepacivirusHepatitis CHumansIncomePovertyPrevalenceRisk FactorsRNA, ViralAntigens, ViralRNA, Viral

Identifiers

PMID29143620
PMCPMC5688443
OpenAlexW2766360815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.