Evidence map›Paper›PMID 26626449›Full record

ArticleBMC infectious diseases2015

A Birth-cohort testing intervention identified hepatitis c virus infection among patients with few identified risks: a cross-sectional study.

William N Southern, Brianna Norton, Meredith Steinman, Joseph DeLuca, Mari-Lynn Drainoni, Bryce D Smith, Alain H Litwin

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

William N SouthernDivision of Hospital Medicine, 111 East 210th Street, Bronx, 10467, NY, USA. wsouther@montefiore.org.
Brianna NortonMontefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA. bnorton@montefiore.org.
Meredith SteinmanMontefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA. mesteinm@montefiore.org.
Joseph DeLucaMontefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA.
Mari-Lynn DrainoniSection of Infectious Diseases, Department of Medicine, Boston University School of Medicine, 72 East Concord Street, Boston, MA, 02118, USA. drainoni@bu.edu.
Bryce D SmithDivision of Viral Hepatitis, Centers for Disease Control and Prevention, National Center for HIV/Viral Hepatitis/STD/TB Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA. Bli1@cdc.gov.
Alain H LitwinMontefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA. alitwin@montefiore.org.
Montefiore Medical Center · USBoston University · USCenters for Disease Control and Prevention · US

Funding

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025750 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$20.5M
Clinical and Translational Science Award-K12KL2RR025749 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$991k
Clinical and Translational Science Award-T32 (TL1)TL1RR025748 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SHAMOON, HARRY · 2008 to 2011
$385k
NCATS NIH HHS UL1 TR001073NCRR NIH HHS KL2 RR025749NCRR NIH HHS TL1 RR025748NCRR NIH HHS UL1 RR025750PHS HHS HHSA2902006000012 T0#4
6 · The paper itself

Abstract

backgroundInternational guidelines and U.S. guidelines prior to 2012 only recommended testing for hepatitis C virus (HCV) infection among patients at risk, but adherence to guidelines is poor, and the majority of those infected remain undiagnosed. A strategy to perform one-time testing of all patients born during 1945-1965, birth cohort testing, may diagnose HCV infection among patients whose risk remains unknown. We sought to determine if a birth-cohort testing intervention for HCV antibody positivity helped identify patients with fewer documented risk factors or medical indications than a pre-intervention, risk-based testing strategy.

methodsWe used a cross-sectional design with retrospective electronic medical record review to examine patients identified with HCV antibody positivity (Ab+) during a pre-intervention (risk-based) phase, the standard of care at the time, vs. a birth-cohort testing intervention phase. We compared demographic and clinical characteristics and HCV risk-associated factors among patients whose HCV Ab + was identified during the pre-intervention (risk-based testing) vs. post birth-cohort intervention phases. Study subjects were patients identified as HCV-Ab + in the baseline (risk-based) and birth-cohort testing phases of the Hepatitis C Assessment and Testing (HepCAT) Project.

resultsCompared to the risk-based phase, patients newly diagnosed with HCV Ab + after the birth-cohort intervention were significantly less likely to have a history of any substance abuse (30.5% vs. 49.5%, p = 0.02), elevated alanine transaminase levels of > 40 U/L (22.0% vs. 46.7%, p = 0.002), or the composite any risk-associated factor (55.9% vs. 79.0%, p = 0.002).

conclusionsBirth-cohort testing is an useful strategy for identifying previously undiagnosed HCV Ab + because it does not require providers ask risk-based questions, or patients to disclose risk behaviors, and appears to identify HCV Ab + in patients who would not have been identified using a risk-based testing strategy.

Indexed as

AdultCohort StudiesCross-Sectional StudiesFemaleHepacivirusHepatitis CHepatitis C AntibodiesHumansMaleMass ScreeningMiddle AgedNew YorkRetrospective StudiesRisk AssessmentRisk FactorsUnited StatesHepatitis C Antibodies

Identifiers

PMID26626449
PMCPMC4667399
OpenAlexW2184924102

What OpenQuestion holds

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LicenceCC BY
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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.