Evidence map›Paper›PMID 33490162›Full record

ArticleAnnals of translational medicine2020

Acute vasoreactivity testing predicts outcome of idiopathic pulmonary arterial hypertension patients with a negative acute response.

Yuanyuan Sun, Yuan Li, Xiangrui Meng, Rong Jiang, Qinhua Zhao, Lan Wang, Lingzi Shi, Cijun Luo, Hongling Qiu, Wenhui Wu and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. 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
0.3field-weighted citation impact, top 37% 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, 4 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.

Yuanyuan SunDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Yuan LiDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Xiangrui MengInstitute of Bismuth Science, University of Shanghai for Science and Technology, China.
Rong JiangDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Qinhua ZhaoDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Lan WangDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Lingzi ShiSchool of Clinical Medicine, Hebei Medical University, Shijiazhuang, China.
Cijun LuoDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Hongling QiuDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Wenhui WuDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Jinling LiDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Jing HeDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Jinming LiuDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Ping YuanDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Sugang GongDepartment of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.
Tongji University · CNShanghai Pulmonary Hospital · CNHebei Medical University · CNUniversity of Shanghai for Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute vasoreactivity testing (AVT) during right heart catheterization (RHC) is performed in certain subsets of patients with pulmonary arterial hypertension (PAH) in order to identify those who benefit from calcium channel blockers. The present study aimed to investigate the prognostic value of pre-AVT, post-AVT, and changes in AVT (ΔAVT) parameters for idiopathic PAH (IPAH) patients with a negative acute response, and to identify sex differences that could be of prognostic value.

methodsA total of 487 incident IPAH patients (171 males and 316 females) with a negative acute response to AVT were recruited from Shanghai Pulmonary Hospital between 2009 and 2018. Outcomes were predicted using the Kaplan-Meier curve and univariate/multivariate Cox regression analyses. All patients were followed up till January 2020, with outcome specified as all-cause mortality.

resultsInhalation of iloprost aerosol improved the hemodynamic parameters for all patients. Post-PVR was decreased, and post-cardiac output (post-CO) and post-cardiac index (post-CI) were increased compared with pre-AVT parameters among males. Increased post- artery oxygen saturation (post-SaO

conclusionsAVT parameters, including pre-AVT, post-AVT and ΔAVT, have a more important prognostic value than currently used for identify a small subgroup of patients with PAH who are suitable for high-dose calcium channel blockers. Sex differences in AVT parameters suggest that sex should be taken into account in estimating prognosis.

Indexed as

acute vasoreactivity testing (AVT)hemodynamicsIdiopathic pulmonary arterial hypertension (IPAH)prognosissex differences

Identifiers

PMID33490162
PMCPMC7812225
OpenAlexW3116572441

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.