Evidence map›Paper›PMID 41051528›Full record

ArticleHerz2026

Electrical-mechanical dyssynchrony in pre-capillary pulmonary hypertension.

Bing-Yang Liu, En-Ci Hu, Lin Xue, Wei-Chun Wu, Yi-Cheng Yang, Bei-Lan Yang, Yan-Ru Liang, Qi-Xian Zeng, Tao Yang, Qing Zhao and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Herz, 2026. 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

14 authors.

Bing-Yang LiuRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
En-Ci HuRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lin XueRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wei-Chun WuDepartment of Echocardiography, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China.
Yi-Cheng YangRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bei-Lan YangRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan-Ru LiangRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi-Xian ZengRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tao YangRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing ZhaoRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qin LuoRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhi-Hui ZhaoRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhi-Hong LiuRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chang-Ming XiongRespiratory and Pulmonary Vascular Disease Diagnosis and Treatment Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. xiongcmfw@163.com.ORCID http://orcid.org/0000-0001-7468-5039

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study focused on exploring the correlation between the electrical and mechanical dyssynchrony of the right ventricle (RV) in patients with pre-capillary pulmonary hypertension (PcPH). It also aimed to compare the predictive capabilities of these dyssynchronies for risk stratification.

methodsFrom April 2017 to March 2018, PcPH patients at Fuwai Hospital were consecutively enrolled. They were divided into low-risk and non-low-risk groups according to the 2015 European Society of Cardiology Guidelines. Off-line software (GE EchoPAC version 201) was used to measure RV mechanical dyssynchrony (standard deviation of the time from QRS onset to peak strain for the six RV segments [RV-SD6]), while QRS duration representing electrical dyssynchrony was measured manually.

resultsIn total, 66 PcPH patients (average 35 years, 19 males and 47 females) were enrolled, 37 in the low-risk group and 29 in the non-low-risk group. QRS duration was significantly correlated with RV-SD6 (r = 0.25, p = 0.047). Both RV-SD6 and QRS duration were significantly correlated with N‑terminal pro-brain natriuretic peptide levels (r = 0.44, p < 0.001 vs. r = 0.26, p = 0.039). Furthermore, RV-SD6 (area under the curve [AUC]: 0.75, 95% confidence interval [CI]: 0.64-0.87, p < 0.001) and QRS duration (AUC: 0.65, 95% CI: 0.52-0.78, p = 0.036) had the potential to predict non-low-risk stratification. Multivariate logistic regression analyses identified RV-SD6 (odds ratio [OR]: 1.02, 95% CI: 1.01-1.03, p = 0.009) and QRS duration (OR: 1.07, 95% CI: 1.00-1.15, p = 0.045) as independent predictors of non-low-risk PcPH.

conclusionMechanical dyssynchrony presented by RV-SD6 correlates with QRS duration and better predicts risk stratification in PcPH patients without complete bundle branch block.

Indexed as

ElectrocardiographyHypertension, PulmonaryVentricular Dysfunction, RightAdultEchocardiographyFemaleHumansMaleReproducibility of ResultsRisk AssessmentSensitivity and SpecificityElectrical dyssynchronyMechanical dyssynchronyQRS durationRisk stratificationTwo-dimensional speckle tracking echocardiography

Identifiers

PMID41051528

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.