Evidence map›Paper›PMID 36338398›Full record

ArticleJACC. Asia2022

Time-Velocity Integral of Left Ventricular Outflow Tract Predicts Worse Long-Term Survival in Pulmonary Arterial Hypertension.

Qian-Qian Liu, Jing Yang, Dan Lu, Xi-Qi Xu, Xin Jiang, Hui Wang, Jing-Yi Li, Fan Guo, Yan-Lin Zhu, Qin-Hua Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Qian-Qian LiuDepartment of Echocardiography, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing YangDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dan LuDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xi-Qi XuDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xin JiangDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hui WangDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing-Yi LiDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fan GuoDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan-Lin ZhuDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qin-Hua ZhaoDepartment of Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The time-velocity integral of the left ventricular outflow tract (TVI Objectives: The aim of this study was to investigate the predictive value of baseline TVI Methods: A total of 225 consecutive patients with a diagnosis of incident PAH were prospectively studied and echocardiology-derived TVI Results: During a median follow-up period of 33.8 months, 44 patients died of cardiovascular events. Baseline TVI Conclusions: The findings of this study suggest that noninvasive TVI

Indexed as

6MWD, 6-minute walk distanceBSA, body surface areaCI, cardiac indexCMR, cardiac magnetic resonance imagingCO, cardiac outputHR, hazard ratioleft ventricular outflow tractLV, left ventricularLVOT, left ventricular outflow tractNT-proBNP, N-terminal pro–B-type natriuretic peptidePAH, pulmonary arterial hypertensionpulmonary arterial hypertensionPVR, pulmonary vascular resistanceRHC, right heart catheterizationRV, right ventricularSTr, peak systolic tricuspid annular velocity of tissue DopplersurvivalSVRHC, stroke volume obtained by right heart catheterizationTAPSE, tricuspid annular plane systolic excursiontime-velocity integralTTE, transthoracic echocardiographyTVILVOT, time-velocity integral of left ventricular outflow tractTVI, time-velocity integralWHO-FC, World Health Organization functional class

Identifiers

PMID36338398
PMCPMC9627844
OpenAlexW4280614780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.