Evidence map›Paper›PMID 32007842›Full record

SynthesisJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

Community viral load and hepatitis C virus infection: Community viral load measures to aid public health treatment efforts and program evaluation.

Ashly E Jordan, David C Perlman, Charles M Cleland, Katarzyna Wyka, Bruce R Schackman, Denis Nash

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. COVID-19 and People Who Use Drugs - A Commentary.Health behavior and policy review · 2020
    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.

Ashly E JordanGraduate School of Public Health and Health Policy, City University of New York, 55 West 125th St, Floor 6, New York, NY 10027, United States; Center for Drug Use and HIV Research, New York, NY, United States; Behavioral Science Training Program in Substance Abuse Research, 380 Second Avenue, Suite 306, New York, NY 10010, United States. Electronic address: ashly.jordan@sph.cuny.edu.
David C PerlmanCenter for Drug Use and HIV Research, New York, NY, United States; Division of Infectious Diseases, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, 350 East 17th St, Floor 19, New York, NY 10003, United States.
Charles M ClelandCenter for Drug Use and HIV Research, New York, NY, United States; Division of Biostatistics, Department of Population Health, New York University School of Medicine, 180 Madison Avenue, 17-51, New York, NY 10016, United States.
Katarzyna WykaGraduate School of Public Health and Health Policy, City University of New York, 55 West 125th St, Floor 6, New York, NY 10027, United States.
Bruce R SchackmanDepartment of Healthcare Policy & Research, Weill Cornell Medicine, 425 East 61st Street, Suite 301, New York, NY 10065, United States.
Denis NashGraduate School of Public Health and Health Policy, City University of New York, 55 West 125th St, Floor 6, New York, NY 10027, United States.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan, Courtney McKnight · 1998 to 2026
$38.9M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZACHARY Franklin MEISEL · 2015 to 2026
$20.7M
BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
NIDA NIH HHS P30 DA011041NIDA NIH HHS P30 DA040500NIDA NIH HHS T32 DA007233
6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) infection is the most prevalent blood-borne infection and causes more deaths than any other infectious disease in the US. Incident HCV infection in the US increased nearly 300 % between 2010 and 2015, Community viral load (CVL) measures have been developed for HIV to measure both transmission risk and treatment engagement in programs or areas.

objectiveThis paper presents a systematic review exploring the published literature on CVL constructs applied to HCV epidemiology and proposes novel CVL measures for HCV. STUDY DESIGN AND

settingA systematic review was conducted of electronic databases; the search sought to identify published literature on HCV which discussed or applied CVL measures to HCV epidemiology. Novel CVL measures were constructed to apply to HCV.

resultsNo reports examining quantitative measures of HCV CVL were identified. Using the HIV CVL literature and the specific characteristics of HCV epidemiology, five HCV CVL measures are proposed. Narrower measures focusing on those engaged-in-care may be useful for program evaluation and broader measures including undiagnosed people may be useful for surveillance of HCV transmission potential.

conclusionDespite their potential value, CVL constructs have not yet formally been developed and applied to HCV epidemiology. The CVL measures proposed here could serve as valuable HCV program and surveillance measures. There is a need for informative surveillance measures to enhance policy and public health responses to achieve HCV control. Further study of these proposed HCV CVL measures to HCV epidemiology is warranted.

Indexed as

Epidemiological MonitoringPublic HealthViral LoadHepacivirusHepatitis CHumansProgram EvaluationCommunity viral loadHepatitis C controlHepatitis C surveillanceHepatitis C virusNovel epidemiologic measuresSystematic review

Identifiers

PMID32007842
PMCPMC7195813

What OpenQuestion holds

Textmetadata
LicenceTDM
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.