Evidence map›Paper›PMID 29972246›Full record

ArticlePaediatric and perinatal epidemiology2018

Enhanced identification of maternal hepatitis C virus infection using existing public health surveillance systems.

Charitha Gowda, Samuel Kennedy, Catherine Glover, Mona R Prasad, Ling Wang, Jonathan R Honegger

Open access · greenAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Sexually Transmitted Infections Treatment Guidelines, 2021.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2021
    Guideline
  2. Article
  3. Nucleic Acid Testing for Diagnosis of Perinatally Acquired Hepatitis C Virus Infection in Early Infancy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  4. Article
  5. Article
  6. CDC Recommendations for Hepatitis C Screening Among Adults - United States, 2020.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2020
    Article
  7. Article
  8. Article
  9. 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 at 2 institutions in 1 country.

Charitha GowdaDepartment of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.
Samuel KennedyDepartment of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.
Catherine GloverThe Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
Mona R PrasadDepartment of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, OH, USA.
Ling WangNationwide Children's Hospital, Partners for Kids, Columbus, OH, USA.
Jonathan R HoneggerDepartment of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.ORCID 0000-0002-3181-0554
Nationwide Children's Hospital · USThe Ohio State University · US

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Persistent hepatitis C virus replication and T cell immunity in pregnancyR01AI096882 · NIAID · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI WALKER, CHRISTOPHER M. · 2012 to 2022
$5.7M
NCATS NIH HHS UL1 TR001070NIAID NIH HHS R01 AI096882
6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) infection is under-recognized among US adults and children. Prenatal HCV screening may help close the diagnosis gap among women while also identifying at-risk infants. Current surveillance efforts for maternal HCV rely primarily on birth certificate data. We sought a more accurate assessment of HCV prevalence among pregnant women in Ohio by combining existing public health surveillance data.

methodsVital Statistics (VS) birth certificate data and Ohio Disease Reporting System (ODRS) HCV case data, both available through the Ohio Department of Health, were linked to determine rates of past or present HCV infection among women giving birth from 2012 to 2015 in Ohio, overall and by county. Among women with available test results, the proportion with present HCV infection indicated by detectable viraemia during pregnancy was calculated.

resultsBirth certificate data identified 4695 deliveries to women with past/present HCV infection during the study period. Linkage to ODRS revealed an additional 1778 deliveries to women with past/present infection, including 355 with confirmed viraemia during pregnancy. The prevalence of past/present HCV among pregnant women in Ohio rose from 0.82% in 2012 to 1.54% in 2015.

conclusionsMaternal HCV infection is under-recognized and increasing in prevalence. Current case identification processes are inadequate in pregnancy, even among women with prior positive HCV testing. Alternative approaches, including enhanced risk factor-based screening or universal prenatal screening in high prevalence settings, are needed to improve rates of HCV recognition among reproductive-aged women and newborns at risk of vertical transmission.

Indexed as

Pregnant PeoplePublic Health SurveillanceAdultFemaleHealth SurveysHepatitis CHumansInfectious Disease Transmission, VerticalOhioPractice Guidelines as TopicPregnancyPregnancy Complications, InfectiousPrenatal DiagnosisPrevalenceRisk Factorsdata linkagehepatitis Cpregnancysurveillance

Identifiers

PMID29972246
PMCPMC6512319
OpenAlexW2809797744

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.