Evidence map›Paper›PMID 38536607›Full record

ArticleThe international journal of cardiovascular imaging2024

Echocardiographic estimation of right ventricular diastolic stiffness based on pulmonary regurgitant velocity waveform analysis in precapillary pulmonary hypertension.

Yui Nagai, Michito Murayama, Sanae Kaga, Hideki Shima, Satonori Tsuneta, Shinobu Yokoyama, Hisao Nishino, Mana Goto, Yukino Suzuki, Yusuke Yanagi and 5 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. 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
0.8field-weighted citation impact, top 27% of its field
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, 2 citations in OpenAlex.

  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

15 authors at 4 institutions in 1 country.

Yui Nagai *Graduate School of Health Sciences, Hokkaido University, N12, W5, Kita-ku, Sapporo, 060-0812, Japan.
Michito Murayama *Department of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, N12, W5, Kita-ku, Sapporo, 060-0812, Japan.
Sanae KagaDepartment of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University, N12, W5, Kita-ku, Sapporo, 060-0812, Japan. sanae@med.hokudai.ac.jp.
Hideki ShimaDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Satonori TsunetaDepartment of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, Hokkaido, 060-8648, Japan.
Shinobu YokoyamaDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Hisao NishinoDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Mana GotoDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Yukino SuzukiDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Yusuke YanagiDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Suguru IshizakaDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Hiroyuki IwanoDiagnostic Center for Sonography, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Junichi NakamuraDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Takahiro SatoDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Ichizo TsujinoDepartment of Respiratory Medicine, Faculty of Medicine, Hokkaido University, N14, W5, Kita-ku, Sapporo, 060-8648, Japan.
Hokkaido University · JPHokkaido University Hospital · JPHealth Sciences University of Hokkaido · JPTeine Keijinkai Hospital · JP

Funding

Japan Society for the Promotion of Science 22K20497
6 · The paper itself

Abstract

Right ventricular (RV) diastolic stiffness is an independent predictor of survival and is strongly associated with disease severity in patients with precapillary pulmonary hypertension (PH). Therefore, a fully validated echocardiographic method for assessing RV diastolic stiffness needs to be established. This study aimed to compare echocardiography-derived RV diastolic stiffness and invasively measured pressure-volume loop-derived RV diastolic stiffness in patients with precapillary PH. We studied 50 consecutive patients with suspected or confirmed precapillary PH who underwent cardiac catheterization, magnetic resonance imaging, and echocardiography within a 1-week interval. Single-beat RV pressure-volume analysis was performed to determine the gold standard for RV diastolic stiffness. Elevated RV end-diastolic pressure (RVEDP) was defined as RVEDP ≥ 8 mmHg. Using continuous-wave Doppler and M-mode echocardiography, an echocardiographic index of RV diastolic stiffness was calculated as the ratio of the atrial-systolic descent of the pulmonary artery-RV pressure gradient derived from pulmonary regurgitant velocity (PRPGD

Indexed as

Cardiac CatheterizationDiastoleEchocardiography, DopplerHypertension, PulmonaryPredictive Value of TestsPulmonary Valve InsufficiencyVentricular Function, RightVentricular PressureAdultAgedArea Under CurveArterial PressureFemaleHumansMaleMiddle AgedDiastolic functionEchocardiographyPulmonary hypertensionPulmonary regurgitationRight ventricular diastolic stiffnessRight ventricular hemodynamic evaluation

Identifiers

PMID38536607
OpenAlexW4393226973

What OpenQuestion holds

Textmetadata
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.