Evidence map›Paper›PMID 36372984›Full record

ArticlePaediatric and perinatal epidemiology2023

Maternal hepatitis C prevalence and trends by county, US: 2016-2020.

Katherine A Ahrens, Lauren M Rossen, Amanda R Burgess, Kristin Palmsten, Erika C Ziller

Open access · greenAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 3 institutions in 1 country.

Katherine A AhrensMaine Rural Health Research Center, Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA.ORCID 0000-0001-5139-9208
Lauren M RossenNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA.
Amanda R BurgessMaine Rural Health Research Center, Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA.
Kristin PalmstenHealthPartners Institute, Minneapolis, Minnesota, USA.ORCID 0000-0002-0134-6228
Erika C ZillerMaine Rural Health Research Center, Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA.
University of Southern Maine · USCenters for Disease Control and Prevention · USHealthPartners · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundTrends in the prevalence of hepatitis C virus (HCV) infection among women delivering live births may differ in rural vs. urban areas of the United States, but estimation of trends based on observed counts may lead to unstable estimates in rural counties due to small numbers.

objectivesThe objective of the study was to use small area estimation methods to provide updated county-level prevalence estimates and, for the first time, trends in maternal HCV infection among live births by county-level rurality.

methodsCross-sectional natality data from 2016 to 2020 were used to estimate maternal hepatitis C prevalence using hierarchical Bayesian models with spatiotemporal random effects to produce annual county-level estimates of maternal HCV infection and trends over time. Models included a 6-level rural-urban county classification, year, maternal characteristics and county-specific covariates. Data were analysed in 2022.

resultsThere were 90,764/18,905,314 live births (4.8 per 1000) with HCV infection reported on the birth certificate. Hepatitis C prevalence was higher among rural counties as compared to urban counties. Rural counties had the largest annual increases in maternal hepatitis C prevalence (per 1000 births) from 2016 to 2020 (micropolitan: 0.39; noncore: 0.40), with smaller increases among less densely populated urban counties (medium metro: 0.28; small metro: 0.28) and urban counties (large central metro:0.11; large fringe metro: 0.14).

conclusionsThe prevalence of maternal HCV infection was the highest in rural counties, and rural counties saw the greatest average prevalence increase during 2016-2020. County-level data can help in monitoring rural-urban trends in maternal HCV infection to reduce geographic disparities.

Indexed as

HepacivirusHepatitis CBayes TheoremCross-Sectional StudiesFemaleHumansPrevalenceRural PopulationUnited StatesUrban PopulationBayes theorembirth certificateshepatitis Cinfectionsopioidpregnancyrural population

Identifiers

PMID36372984
PMCPMC9918643
OpenAlexW4308959596

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.