Evidence map›Paper›PMID 31856056›Full record

ArticleChinese medical journal2019

A cross-sectional study of acute cor pulmonale in acute respiratory distress syndrome patients in China.

Long-Xiang Su, Xiu-Ling Shang, Ran Zhu, Wei He, Pan Pan, Hong-Min Zhang, Li-Na Zhang, Da-Wei Liu, Rong-Guo Yu, Xiao-Ting Wang and 1 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03827863 (The Prospective Observational Study of ARDS Related Acute CorPulmonale and the Randomized Controlled Study of ARDS Aimed Circulation Protection China), which is not on this 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, top 82% 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.

NCT03827863 unknown statusnot on this map

The Prospective Observational Study of ARDS Related Acute CorPulmonale and the Randomized Controlled Study of ARDS Aimed Circulation Protection China (ACPC)

TypeobservationalSponsorPeking Union Medical College HospitalRan2019 to 2020Enrolled300ConditionsARDS (Acute Respiratory Distress Syndrome), Acute Cor PulmonaleArmsTTE
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

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

11 authors at 6 institutions in 1 country.

Long-Xiang SuDepartment of Critical Care Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Xiu-Ling ShangDepartment of Critical Care Medicine, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Medical University, Fuzhou, Fujian 350001, China.
Ran ZhuDepartment of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Wei HeDepartment of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
Pan PanDepartment of Respiratory and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100853, China.
Hong-Min ZhangDepartment of Critical Care Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Li-Na ZhangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Da-Wei LiuDepartment of Critical Care Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Rong-Guo YuDepartment of Critical Care Medicine, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Medical University, Fuzhou, Fujian 350001, China.
Xiao-Ting WangDepartment of Critical Care Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
Chinese Critical Ultrasound Study Group (CCUSG)
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFujian Medical University · CNBeijing Tongren Hospital · CNCentral South University · CNChinese PLA General Hospital · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased right ventricle afterload during acute respiratory distress syndrome (ARDS) may induce acute cor pulmonale (ACP), which is associated with a poor clinical outcome. Echocardiography is now considered as a rapid and non-invasive tool for diagnosis of ACP. The aims of this study were to investigate the morbidity and mortality rates of ACP in ARDS patients in intensive care units (ICUs) across the mainland of China and to determine the severity and prognosis of ACP in ARDS patients through an ultrasound protocol (TRIP). And the association between ACP related factors and the ICU mortality will be revealed.

methodsThis study is a multicenter and cross-sectional study in China which will include ICU participants when diagnosed as ARDS. The ultrasound protocol, known as the TRIP, is proposed as severity assessment for ACP, which includes tricuspid regurgitation velocity (T), right ventricular size (R), inferior vena cava diameter fluctuation (I), and pulmonary regurgitation velocity (P). The 28-day mortality, ICU/hospital mortality, the length of stay in ICU, mechanical ventilation days, hemodynamic parameters and lab parameters of liver function and kidney function are all recorded. DISCUSSION: This large-scale study would give a sufficient epidemic investigation of ACP in ARDS patients in China. In addition, with the TRIP protocol, we expect that we could stratify ACP with more echocardiography parameters.

trial registrationNCT03827863, https://clinicaltrials.gov/ct2/show/NCT03827863.

Indexed as

ChinaCross-Sectional StudiesHumansIntensive Care UnitsPulmonary Heart DiseaseRespiration, ArtificialRespiratory Distress Syndrome

Identifiers

PMID31856056
PMCPMC6940069
OpenAlexW2990287141

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.