Evidence map›Paper›PMID 40783166›Full record

ArticleAmerican heart journal2026

Understanding gaps in guideline-recommended adult congenital heart disease care: Data from 12 US health care centers.

Joseph Bayne, Rong Duan, Lindsey Rudov, Rittal Mehta, Ruth Phillippi, Mark Roeder, Sneha Saraf, Jamie L Jackson, Matthew Lewis, Arwa Saidi and 14 more

Abstract readMulticenter Study
In one paragraph

Article in American heart journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

24 authors.

Joseph BayneDivision of Cardiology, Department of Medicine, University of California, San Francisco, CA. Electronic address: joseph.bayne@ucsf.edu.
Rong DuanDivision of Cardiology, Department of Medicine, University of California, San Francisco, CA.
Lindsey RudovLouisiana Public Health Institute, New Orleans, LA.
Rittal MehtaChildren's National Hospital, Washington, DC.
Ruth PhillippiChildren's National Hospital, Washington, DC.
Mark RoederAdult Congenital Heart Association, Philadelphia, PA.
Sneha SarafChildren's National Hospital, Washington, DC.
Jamie L JacksonCenter for Biobehavioral Health, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH.
Matthew LewisColumbia University Irving Medical Center, New York, NY.
Arwa SaidiUniversity of Florida, Gainesville, FL.
Ronald KanterNicklaus Children's Hospital, Miami, FL.
Satinder SandhuUniversity of Miami, Miami, FL.
Thomas YoungOchsner Health System, New Orleans, LA.
Roni JacobsenChildren's Hospital of Colorado, Denver, CO.
Emily RuckdeschelThe Children's Hospital of Philadelphia, Philadelphia, PA.
Adam LubertCincinnati Children's Hospital, Cincinnati, OH.
Harsimran SinghWeill Cornell New York Presbyterian, New York, NY.
Ali ZaidiMount Sinai Hospital, New York, NY.
Dan G HalpernNew York University Langone Health, New York, NY.
Scott LeezerCura Strategies, Arlington, VA.
Anitha S JohnChildren's National Hospital, Washington, DC.
Thomas CartonLouisiana Public Health Institute, New Orleans, LA.
Anushree AgarwalDivision of Cardiology, Department of Medicine, University of California, San Francisco, CA. Electronic address: anu.agarwal2@ucsf.edu.
Congenital Heart Initiative-Redefining Outcomes and Navigation to an Adult-centered Care (CHI-RON) Investigators

Funding

Improving transitions of care for adults with congenital heart diseaseK23HL151866 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Anushree Agarwal · 2022 to 2026
$946k
NHLBI NIH HHS K23 HL151866
6 · The paper itself

Abstract

backgroundGuidelines recommend lifelong care with adult congenital heart disease (ACHD) specialists for adults with congenital heart disease (CHD). However, such gaps in visits at specialized ACHD centers have not been well-characterized from diverse US settings.

methodsThis retrospective study analyzed data from 12 centers in the national Patient-Centered Clinical Research Network. CHD conditions were classified using International Classification of Disease codes and a hierarchical algorithm. ACHD specialists were identified by investigators and encounter volumes. Data from the 'Pre-COVID' (2015-2019) and 'COVID' (2020-2022) periods were analyzed separately. Main outcome measures were: 1) Gaps in any ACHD specialist visit and recommended testing throughout the study period. 2) Gaps in recommended ACHD follow-up care.

resultsDuring pre-COVID (N = 18,934) and COVID (N = 22,453) periods, between 55.3%-55.8% were males, 27.2%-31.0% were 40+ years, 18.2%-19.6% had severe CHD, and 52.7%-55.0% had CHD physiologic class B-D conditions. Between 47.0%-54.5% had gaps in specialist visit and 13.0%-24.6% had gaps in all the testing. Patients with gaps in specialist visits were 6.33-9.44 times more likely to have gaps in testing. Gaps were more common among patients with moderate (adjusted odds ratio [AOR]: 2.61) and simple (AOR: 2.84) CHD, those aged 40+ (AOR: 1.53) and nonphysiologic class conditions (AOR 1.51). In both periods, 64.1%-71.5% of patients had gaps in follow-up care.

conclusionsThree-quarters of adults with CHD experienced gaps in specialized ACHD care while receiving services at high volume comprehensive tertiary health centers. To address these gaps, interventions such as fostering physician collaboration within tertiary centers might be needed, and targeted to patients with less severe CHD, nonphysiologic class conditions, and those aged 40+ years.

Indexed as

COVID-19Guideline AdherenceHeart Defects, CongenitalPractice Guidelines as TopicAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2United States

Identifiers

PMID40783166
PMCPMC13310173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.