Evidence map›Paper›PMID 41876955›Full record

ArticleComprehensive Physiology2026

PVRI-GoDeep-A Global Meta-Registry at the Crossroads of Heart and Lung.

Meike T Fuenderich, Athiththan Yogeswaran, Patrick Janetzko, Khodr Tello, Werner Seeger, Raphael W Majeed, Jochen Wilhelm, GoDeep Consortium

Abstract read
In one paragraph

Article in Comprehensive Physiology, 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

8 authors.

Meike T FuenderichDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
Athiththan YogeswaranDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.ORCID 0000-0001-9505-8608
Patrick JanetzkoDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
Khodr TelloDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.ORCID 0000-0002-5557-623X
Werner SeegerDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.ORCID 0000-0003-1946-0894
Raphael W MajeedDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.ORCID 0000-0002-8260-8815
Jochen WilhelmDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen, Germany.
GoDeep Consortium

Funding

Pulmonary Vascular Research Institute (PVRI).
6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a complex disease characterized by increased pressure in the pulmonary arteries. It encompasses a heterogeneous group of entities that increase right heart afterload and often lead to right heart failure and premature death. Advancing diagnosis, risk stratification, and treatment across the diverse PH spectrum requires large, high-quality, longitudinal datasets that exceed the scope of individual national or regional registries. To address this need, PVRI GoDeep was founded under the umbrella of the Pulmonary Vascular Research Institute (PVRI). This global meta registry harmonizes and integrates anonymized patient-level data from existing PH registries at expert centers worldwide. PVRI GoDeep enables the reuse of locally collected real-world data by mapping heterogeneous datasets to a predefined data dictionary, thorough quality checks, and regular updates. This approach supports phenotyping across all PH groups, enables international comparisons, and allows in-depth analysis of rare subtypes, disease progression, treatment responses, and survival rates. Importantly, GoDeep makes clinically relevant research possible that cannot be conducted at the level of a single center, such as validating risk-stratification tools across PH subgroups, evaluating off-label therapies, and investigating newly recognized entities, such as mild PH. By January 2026, data from more than 45,000 individuals worldwide were integrated into GoDeep, making it one of the largest and most diverse PH registries. Offering a scalable, governed, and disease-independent framework for harmonized real-world evidence generation, PVRI GoDeep is a powerful platform to deepen the understanding of PH and support the development of clinical guidelines for the diagnosis and treatment of PH.

Indexed as

data integrationdata quality managementmeta‐registrypulmonary hypertensionreal world evidenceright heart failure

Identifiers

PMID41876955
PMCPMC13013090

What OpenQuestion holds

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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.