Evidence map›Paper›PMID 23239521›Full record

ArticleHepatology (Baltimore, Md.)2013

Hepatitis C screening: getting it right.

Brian R Edlin

Abstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Observational
  4. Article
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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

1 author.

Brian R EdlinNational Development and Research Institutes, New York, NY 10010, USA. bredlin.nyc@gmail.com

Funding

HCV Transmission among Young IDUs in NYCR01DA021550 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI EDLIN, BRIAN R. · 2008 to 2012
$4.1M
Acute HCV Infection in Injection Drug UsersR01DA016159 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI EDLIN, BRIAN R. · 2004 to 2008
$3.5M
Integrated vs. Separate Care for Hepatitis C, Substance Abuse, and HIV PreventionR01DA029512 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI EDLIN, BRIAN R. · 2010 to 2014
$3.4M
NIDA NIH HHS R01 DA016159NIDA NIH HHS R01 DA021550NIDA NIH HHS R01 DA029512
6 · The paper itself

Abstract

unlabelledHepatitis C is the most prevalent bloodborne viral disease in the United States and the deadliest. This year, the U.S. Preventive Services Task Force (USPSTF) will update its 2004 hepatitis C guideline, which recommends against screening asymptomatic adults for hepatitis C. This guideline has hampered public health efforts to encourage screening and identify and refer infected persons for care by declaring that such interventions were not supported by the evidence. A draft revision of the guideline, released on November 26, 2012, concludes that testing persons born between 1945 and 1965 probably has at least a small net benefit, but stops short of definitively recommending that this cohort be screened. This article examines the Task Force's process for writing its guidelines. It recommends that the Task Force adopt a balanced approach to evaluating the benefits and harms of screening; use the preponderance of the evidence as a standard for evaluating interventions that target serious public health problems; be transparent about the value judgments that go into its decisions; consider the wide variation in disease prevalence in diverse patient populations; and recommend screening asymptomatic adults for hepatitis C.

conclusionBy taking a broader view of the evidence, the Task Force can write new guidelines that will serve efforts to curb the hepatitis C epidemic, rather than frustrate them.

Indexed as

Advisory CommitteesEvidence-Based MedicineHealth Planning GuidelinesHepatitis CHumansMass ScreeningPreventive Health ServicesUnited States

Identifiers

PMID23239521
PMCPMC4751877

What OpenQuestion holds

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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.