Evidence map›Paper›PMID 29769036›Full record

ArticleBMC infectious diseases2018

Estimates of state-level chronic hepatitis C virus infection, stratified by race and sex, United States, 2010.

Eric W Hall, Eli S Rosenberg, Patrick S Sullivan

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Hepatitis C Surveillance in the United States: Past, Present, and Future.Public health reports (Washington, D.C. : 1974) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sustained Impact of the Coronavirus Disease 2019 Pandemic on Hepatitis C Virus Treatment Initiations in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  12. Article
  13. Article
  14. Review
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  16. 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

3 authors at 2 institutions in 1 country.

Eric W HallDepartment of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Road, GCR 432, Atlanta, GA, 30322, USA. eric.w.hall@emory.edu.ORCID 0000-0003-0244-7458
Eli S RosenbergDepartment of Epidemiology and Biostatistics, University at Albany School of Public Health, 1 University Place, rm 123, Rensselaer, NY, 12144, USA.
Patrick S SullivanDepartment of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Road, GCR 432, Atlanta, GA, 30322, USA.
Emory University · USUniversity at Albany, State University of New York · US

Funding

ENHANCING MODELS OF HIV, VIRAL HEPATITIS, STIs, AND TUBERCULOSIS TO INFORM AND IMPROVE PUBLIC HEALTH IMPACTU38PS004646 · PS · EMORY UNIVERSITY · PI SULLIVAN, PATRICK · 2014 to 2015
$2.9M
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention U38 PS004646NCHHSTP CDC HHS U38 PS004646
6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) is the most common blood-borne viral infection in the United States. Previously, we used data from the National Health and Nutrition Examination Survey (NHANES) and mortality data from the National Vital Statistics System (NVSS) to estimate the prevalence of HCV antibodies (anti-HCV) and HCV RNA among all U.S. states. However, demographic differences in HCV burden at the state-level have not been systematically described. This analysis quantified the HCV burden stratified by sex and race (and associated disparities) for each U.S. state.

methodsBuilding on our previous method, we used three publicly available data sources to estimate HCV RNA prevalence among noninstitutionalized adults stratified by sex and race group. We used a small-area estimation approach that included direct standardization of NHANES demographic data with logistic regression modeling of HCV-related mortality data as an adjustment factor to estimate the state-level prevalence and total persons with chronic HCV infection for sex and race groups in all U.S. states.

resultsNationally, males had an estimated HCV RNA prevalence of 1.56% (95% CI: 1.37-1.84%) and females had a prevalence of 0.75% (95% CI: 0.63-0.96%). Stratified by race, national estimated prevalence of HCV RNA was highest among non-Hispanic black (2.43, 95% CI: 2.10-2.90%), followed by non-Hispanic white (1.05, 95% CI: 0.90-1.27%) and Hispanic/other (0.74, 95% CI: 0.59-1.04%). Males in most jurisdictions (41/51) have an HCV RNA prevalence that is between 1.5 and 2.5 times higher than their female counterparts.

conclusionsHCV infection disparities by sex are mostly consistent across the country. However, race differences in HCV infection differ by state and tailored prevention and treatment efforts specific to the local HCV epidemic are needed to reduce race disparities.

Indexed as

AdultEthnicityFemaleGeographyHepacivirusHepatitis C, ChronicHumansMaleMiddle AgedNutrition SurveysPrevalenceRacial GroupsRNA, ViralSex FactorsStatistics as TopicUnited StatesRNA, ViralHepatitis CMortalityNHANESPrevalenceSmall-area

Identifiers

PMID29769036
PMCPMC5956841
OpenAlexW2805020333

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.