Evidence map›Paper›PMID 30148764›Full record

ArticleJournal of clinical gastroenterology

Peripartum Maternal Hepatitis B Care in a US Nationwide Data Set.

Matthew S Chang, J Frank Wharam, Fang Zhang, Robert F LeCates, Emma Morton-Eggleston, Ruth E Tuomala, Anna E Rutherford, Muthoka L Mutinga, Karin L Andersson, Robert S Brown and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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, 5 citations in OpenAlex.

  1. Article
  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

12 authors at 5 institutions in 1 country.

Matthew S ChangDepartment of Gastroenterology, Hepatology, and Endoscopy.
J Frank WharamDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Fang ZhangDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Robert F LeCatesDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Emma Morton-EgglestonDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Ruth E TuomalaDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital.
Anna E RutherfordDepartment of Gastroenterology, Hepatology, and Endoscopy.
Muthoka L MutingaDepartment of Gastroenterology, Hepatology, and Endoscopy.
Karin L AnderssonDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA.
Robert S BrownDivision of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, NY.
Chinweike UkomaduDepartment of Gastroenterology, Hepatology, and Endoscopy.
Emily OkenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Harvard University · USBrigham and Women's Hospital · USCornell University · USHarvard Pilgrim Health Care · USMassachusetts General Hospital · US

Funding

The Impact of Emerging Health Insurance Designs on Diabetes Outcomes and DisparitU58DP002719 · DP · HARVARD PILGRIM HEALTH CARE, INC. · PI ROSS-DEGNAN, DENNIS · 2010 to 2014
$2.2M
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
NCCDPHP CDC HHS U58 DP002719NICHD NIH HHS K24 HD069408
6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV) screening during pregnancy is standard of care to prevent vertical transmission to infants, yet the mothers themselves may not receive appropriate follow-up. GOALS: Using a national database, we sought to determine rates of maternal peripartum follow-up with a HBV specialist and identify factors associated with a lack of follow-up. MATERIALS AND

methodsWe identified women who delivered in 2000 to 2012 and were diagnosed with HBV according to International Classification of Diseases-9 codes using a national database (Optum) derived from commercial insurance claims with ∼46 million members ages 0 to 64 in all 50 states. Our primary outcome was follow-up during or after pregnancy with a HBV specialist (gastroenterology/infectious diseases).

resultsThe prevalence of HBV was 0.27% (2558/959,747 pregnancies), and median follow-up was 45 months. Only 21% of women had peripartum HBV specialist follow-up. On multivariable regression, predictors of peripartum follow-up at 1-year included younger age [odds ratio (OR), 0.97/y; 95% confidence interval (CI), 0.94, 0.99], Asian race/ethnicity (OR, 1.56 vs. white; 95% CI, 1.13, 2.17), and residing in the Northeast (OR, 1.70; 95% CI, 1.09, 2.66) and Midwest (OR, 1.73; 95% CI, 1.07, 2.81) versus West. Predictors of testing for HBV DNA and alanine aminotransferase at 1 year included Asian race (OR, 1.72; 95% CI, 1.23, 2.41), a primary care physician visit within 2 years of delivery (OR, 1.63; 95% CI, 1.19, 2.22), and peripartum HBV specialist follow-up within 1 year (OR, 15.68; 95% CI, 11.38, 21.60).

conclusionsMaternal HBV specialist follow-up rates were extremely low in this large, diverse cohort representing all United States regions. Referral to a HBV specialist was the strongest predictor of appropriate postpartum HBV laboratory testing. Follow-up rates may be even lower in uninsured populations.

Indexed as

Prenatal CareAdultAge FactorsDatabases, FactualEthnicityFemaleHepatitis B, ChronicHumansInfectious Disease Transmission, VerticalPregnancyPregnancy Complications, InfectiousPrevalenceUnited States

Identifiers

PMID30148764
PMCPMC6387864
OpenAlexW2888224374

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.