Evidence map›Paper›PMID 41208910›Full record

ArticleInternational journal of cardiology. Congenital heart disease2025

The Congenital Cardiac Diagnosis Translator (CCDT): Enhancing interoperability in congenital cardiac diagnosis terminology.

Sarah Kübler, Ely Erez, Justin Cohen, Peter J Gruber

Abstract read
In one paragraph

Article in International journal of cardiology. Congenital heart disease, 2025. 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.

Sarah KüblerDivision of Cardiac Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
Ely ErezDivision of Cardiac Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
Justin CohenDivision of Cardiac Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
Peter J GruberDivision of Cardiac Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Congenital heart diseases (CHDs) are classified using diverse terminologies worldwide, creating barriers to effective communication and collaboration in both clinical practice and research. This project aimed to develop a tool to improve interoperability between commonly used CHD classification systems. Methods and results: The Congenital Cardiac Diagnosis Translator (CCDT) was developed by manually cross-matching diagnostic terms across six coding systems: Fyler, HPO, IPCCC, STS, ICD-10, and ICD-11. Terms were reviewed one system at a time. When an exact match was unavailable, the most specific encompassing diagnosis was selected; in cases where no suitable match existed, no translation was provided. Mappings were consolidated into a curated master lookup table. The CCDT was implemented as a web-based tool with a graphical user interface, enabling term-specific searches. Translations were qualitatively validated by clinical experts in congenital cardiology to ensure accuracy and relevance. The CCDT includes 505 unique congenital heart diagnoses cross-mapped across six coding systems. Qualitative feedback indicated that the translator is intuitive, accurate, and easy to use. Conclusions: The CCDT provides a scalable, expert-informed solution for improving interoperability across CHD classification systems. By standardizing diagnostic terminology, it supports global collaboration and data sharing in congenital cardiology. The translator is freely accessible and will continue to evolve alongside diagnostic systems.

Indexed as

CCDTClinical informaticsCongenital cardiac diagnosisInteroperabilityTerminology translation

Identifiers

PMID41208910
PMCPMC12593676

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.