Evidence map›Paper›PMID 38251352›Full record

ArticlePathogens (Basel, Switzerland)2024

A Composite Score for Predicting Vertical Transmission of Hepatitis C: A Multicenter Study.

Paul Wasuwanich, Joshua M So, Brett Presnell, Wikrom Karnsakul, Robert S Egerman, Tony S Wen

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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.

Paul WasuwanichUniversity of Florida College of Medicine, Gainesville, FL 32610, USA.ORCID 0000-0002-7555-453X
Joshua M SoUniversity of Florida College of Medicine, Gainesville, FL 32610, USA.
Brett PresnellDepartment of Statistics, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-8538-5063
Wikrom KarnsakulDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0001-7288-5459
Robert S EgermanDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Florida College of Medicine, Gainesville, FL 32610, USA.ORCID 0000-0003-2063-7765
Tony S WenDivision of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, University of Florida College of Medicine, Gainesville, FL 32610, USA.
University of Florida · USJohns Hopkins University · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1TR001427
6 · The paper itself

Abstract

backgroundPrevention of the vertical transmission of the hepatitis C virus (HCV) presents an obstetric challenge. There are no approved antiviral medications for the treatment or prevention of HCV for pregnant patients.

objectiveWe aimed to create a composite score to accurately identify a population of pregnant patients with HCV who have high potential for vertical transmission. STUDY

designIn a retrospective, multicenter cohort study, we identified pregnant patients with hepatitis C with linked data to their infants who have had HCV RNA or HCV antibody testing. Demographic data, including age and race/ethnicity, as well as clinical and laboratory data, including tobacco/alcohol use, infections, liver function tests, the HCV RNA titer, HCV antibody, HCV genotype, absolute lymphocyte count, and platelet count, were collected. Data were analyzed using logistic regression and receiver operating characteristics (ROCs) and internally validated using the forward selection bootstrap method.

resultsWe identified 157 pregnant patients and 163 corresponding infants. The median maternal delivery age was 29 (IQR: 25-33) years, and the majority (141, or 89.8%) were White. A high HCV RNA titer, high absolute lymphocyte count, and high platelet count were associated with vertical transmission. A high HCV RNA titer had an AUROC of 0.815 with sensitivity, specificity, a positive predictive value, and a negative predictive value of 100.0%, 59.1%, 17.6%, and 100.0%, respectively. A composite score combining the three risk factors had an AUROC of 0.902 (95% CI = 0.840-0.964) but with a risk of overfitting.

conclusionsAn HCV RNA titer alone or a composite score combining the risk factors for HCV vertical transmission can potentially identify a population of pregnant patients where the rate of vertical transmission is high, allowing for potential interventions during antepartum care.

Indexed as

Hepatitis CInfectious Disease Transmission, VerticalPregnancy Complications, InfectiousAdultFemaleHepacivirusHepatitis C AntibodiesHumansInfant, NewbornPregnancyRetrospective StudiesRisk FactorsRNA, ViralHepatitis C AntibodiesRNA, Viralantiviral agentslymphocytespregnancypublic health

Identifiers

PMID38251352
PMCPMC10821345
OpenAlexW4390544260

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.