Evidence map›Paper›PMID 31146810›Full record

ArticleJournal of the American College of Cardiology2019

Threshold of Pulmonary Hypertension Associated With Increased Mortality.

Geoff Strange, Simon Stewart, David S Celermajer, David Prior, Gregory M Scalia, Thomas H Marwick, Eli Gabbay, Marcus Ilton, Majo Joseph, Jim Codde and 2 more

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the American College of Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 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.

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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Observational
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  8. Artificial intelligence enhanced contemporary pulmonary hypertension care.American heart journal plus : cardiology research and practice · 2025
    Review
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Geoff StrangeUniversity of Notre Dame, Fremantle, Western Australia, Australia. Electronic address: gstrange@neda.net.au.
Simon StewartUniversity of Cape Town, Cape Town, South Africa.
David S CelermajerFaculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
David PriorUniversity of Melbourne, St. Vincent's Hospital, Melbourne, Victoria, Australia.
Gregory M ScaliaUniversity of Queensland, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Thomas H MarwickBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Eli GabbayUniversity of Notre Dame, Fremantle, Western Australia, Australia.
Marcus IltonMenzies School of Health Research, Royal Darwin Hospital, Tiwi, Northern Territory, Australia.
Majo JosephFlinders University, Adelaide, South Australia, Australia.
Jim CoddeUniversity of Notre Dame, Fremantle, Western Australia, Australia.
David PlayfordUniversity of Notre Dame, Fremantle, Western Australia, Australia.
NEDA Contributing Sites

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing evidence that current thresholds for diagnosing pulmonary hypertension (PHT) underestimate the prognostic impact of PHT.

objectivesThe aim of this study was to determine the prognostic impact of increasing pulmonary pressures within the National Echocardiography Database of Australia cohort (n = 313,492).

methodsThe distribution of estimated right ventricular systolic pressure (eRVSP) was examined in 157,842 men and women. All had data linkage to long-term survival during median follow-up of 4.2 years (interquartile range: 2.2 to 7.5 years).

resultsThe cohort comprised 74,405 men and 83,437 women 65.6 ± 17.7 years of age. Overall, 17,955 (11.4%), 7,016 (4.4%), and 4,515 (2.9%) subjects had eRVSP levels indicative of mild (40 to 49 mm Hg), moderate (50 to 59 mm Hg), or severe (≥60 mm Hg) PHT, respectively, assuming a right atrial pressure of 5 mm Hg. These subjects were more likely to die during long-term follow up (for severe PHT, adjusted hazard ratio: 9.73; 95% confidence interval: 8.60 to 11.0; p < 0.001). After adjustment for age, sex, and evidence of left heart disease, those subjects with eRVSP levels within the third (28.05 to 32.0 mm Hg; hazard ratio: 1.410; 95% confidence interval: 1.310 to 1.517) and fourth (32.05 to 38.83 mm Hg; hazard ratio: 1.979; 95% confidence interval: 1.853 to 2.114) quintiles had significantly higher mortality (p < 0.001) than those in the lowest quintile. Accordingly, a clear and consistent threshold of increased mortality (including 1- and 5-year actuarial mortality) around an eRVSP of 30.0 mm Hg was evident.

conclusionsIn this large and unique cohort, the prognostic impact of clinically accepted levels of PHT was confirmed. Moreover, a distinctly lower threshold for increased risk for mortality (eRVSP >30.0 mm Hg) indicative of PHT was identified. (A Longitudinal Cohort Study of Echocardiograms From Public and Private Echocardiography Laboratories From Around Australia, Linked With the National Deaths Index; ACTRN12617001387314).

Indexed as

AdultAgedAged, 80 and overAustraliaCohort StudiesFemaleHumansHypertension, PulmonaryMaleMiddle AgedPrognosisYoung Adultcohortmortalitypulmonary hypertension

Identifiers

What OpenQuestion holds

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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.