Evidence map›Paper›PMID 30545972›Full record

ReviewThe European respiratory journal2019

Diagnosis of pulmonary hypertension.

Adaani Frost, David Badesch, J Simon R Gibbs, Deepa Gopalan, Dinesh Khanna, Alessandra Manes, Ronald Oudiz, Toru Satoh, Fernando Torres, Adam Torbicki

3 registry-linked trialsAbstract readReview
In one paragraph

Review in The European respiratory journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 210 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
210citing papers in PubMed, 6 pooled it
–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.

NCT05716984 phase4unknown statusnot on this mapstarted 2023, after this paper: background citation

A Prospective, Multicenter, Randomized, Double-blind, Placebo-controlled Clinical Study on the Efficacy and Safety of Recombinant Human Brain Natriuretic Peptide in Improving Type 3 Pulmonary Hypertension.

TypeinterventionalSponsorShengjing HospitalRan2023 to 2024Enrolled72ConditionsGroup 3 Pulmonary HypertensionArmsrecombinant human brain natriuretic peptide, Placebo
NCT07087613 recruitingnot on this mapstarted 2025, after this paper: background citation

Deep Learning for Detection of Pulmonary Hypertension and Reduced Left Ventricular Ejection Fraction Using a Combined Digital Stethoscope and Three-lead Electrocardiogram

TypeobservationalSponsorEko Devices, Inc.Ran2025 to 2027Enrolled3,850ConditionsHypertension, Pulmonary, Heart Failure With Reduced Ejection FractionArmsEko CORE 500 Digital Stethoscope
NCT07136623 recruitingnot on this mapstarted 2025, after this paper: background citation

Deep Learning for Algorithmic Detection of Pulmonary Hypertension Using a Combined Digital Stethoscope and Three-lead Electrocardiogram

TypeobservationalSponsorEko Devices, Inc.Ran2025 to 2027Enrolled1,513ConditionsPulmnary HypertensionArmsEko CORE 500 phonocardiogram (PCG) recording, Eko CORE 500 three-lead electrocardiogram (ECG) recording
3 · Its place in the literature

Who cites it

210 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Right Heart Function in Cardiorenal Syndrome.Current heart failure reports · 2022
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Echocardiography in HIV Disease.Current cardiology reports · 2026
    Review
  15. Article
  16. Journal of preventive medicine and hygiene · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Diagnosis of pulmonary arterial hypertension: a statement from the Brazilian Thoracic Association.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2026
    Review

150 more citing papers are in PubMed but not listed here.

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

10 authors.

Adaani FrostDept of Medicine, Institute of Academic Medicine, Houston Methodist Hospital, Houston, TX, USA.
David BadeschDivisions of Pulmonary Sciences and Critical Care Medicine, and Cardiology, University of Colorado, Denver, CO, USA.
J Simon R GibbsNational Heart and Lung Institute, Imperial College of London, London, UK.
Deepa GopalanDept of Radiology, Imperial College Healthcare NHS Trust and Imperial College London, Hammersmith Hospital, London, UK.
Dinesh KhannaUniversity of Michigan Scleroderma Program, Ann Arbor, MI, USA.
Alessandra ManesCardio-Thoracic and Vascular Dept, Sant'Orsola University Hospital, Bologna, Italy.
Ronald OudizLA Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Toru SatohDivision of Cardiology, Kyorin University Hospital, Tokyo, Japan.
Fernando TorresUniversity of Texas Southwestern Medical School, Dallas, TX, USA.
Adam TorbickiDept of Pulmonary Circulation and Cardidology, Medical Center for Postgraduate Education, ECZ-Otwock, Otwock, Poland.

Funding

Outcomes Research in Rheumatic DiseasesK24AR063120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2012 to 2022
$1.6M
NIAMS NIH HHS K24 AR063120
6 · The paper itself

Abstract

A revised diagnostic algorithm provides guidelines for the diagnosis of patients with suspected pulmonary hypertension, both prior to and following referral to expert centres, and includes recommendations for expedited referral of high-risk or complicated patients and patients with confounding comorbidities. New recommendations for screening high-risk groups are given, and current diagnostic tools and emerging diagnostic technologies are reviewed.

Indexed as

AlgorithmsComorbidityDiagnostic ImagingHumansHypertension, PulmonaryLungPractice Guidelines as TopicReproducibility of Results

Identifiers

PMID30545972
PMCPMC6351333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.