Evidence map›Paper›PMID 41961271›Full record

ArticlePediatric cardiology2026

Social Media Perspectives on Congenital Heart Disease: Integrating Thematic and Sentiment Analysis to Characterize the Digital Health Footprint.

Calista L Dominy, Eric Takoushian, Denis J Donovan, Sheila J Carroll

Abstract read
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In one paragraph

Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Calista L DominyDepartment of Pediatrics, New York Presbyterian - Weill Cornell, New York, NY, USA. omo9016@nyp.org.ORCID http://orcid.org/0000-0002-6572-585X
Eric TakoushianDepartment of Pediatrics, New York Presbyterian - Weill Cornell, New York, NY, USA.ORCID http://orcid.org/0009-0004-6254-8917
Denis J DonovanDepartment of Pediatric Cardiology, New York Presbyterian - Weill Cornell, New York, NY, USA.ORCID http://orcid.org/0000-0002-5779-1996
Sheila J CarrollDepartment of Pediatric Cardiology, New York Presbyterian - Weill Cornell, New York, NY, USA.ORCID http://orcid.org/0000-0001-7730-4086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the growing use of social media platforms for health information, limited research has examined how individuals affected by congenital heart disease (CHD) communicate online. The aim of this study is to characterize themes, user perspectives, sentiment, and accuracy of social media discussion related to CHD using a mixed-methods approach integrating qualitative review and natural language processing (NLP). Five hundred posts from the Reddit page r/CHD (2018–2025) were analyzed. Two independent raters performed thematic and perspective analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner), an NLP tool optimized for social media text, quantified sentiment of posts. For posts that sought health advice, responses were graded for accuracy by two pediatric cardiologists. Post volume increased by 1,195% from 2018 To 2025. Mean sentiment score was 0.43 ± 0.60; 71.6% of posts were positive, 20.2% negative, and 8.2% neutral. There was no significant difference in sentiment between mild, moderate, or severe lesions; however, posts about multiple defects were significantly more positive (0.55 +/- 0.55, p = 0.017) and sentiment varied by individual diagnosis. Perspective analysis showed 39.8% of posts written by parents, 13.6% by expectant parents, 31% by CHD patients, and 1% by healthcare professionals. For posts seeking health advice, 82% of responses shared purely anecdotal experiences or deferred to clinicians, while 11% offered direct medical guidance – 67% of which were fully accurate and 29% with gross inaccuracies. These findings highlight social media as an emerging and potentially underutilized resource for understanding patient experience and information-seeking behavior in CHD.

Indexed as

Congenital heart diseaseDigital healthNatural language processingRedditSentiment analysisSocial media accuracy

Identifiers

What OpenQuestion holds

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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.