Evidence map›Paper›PMID 35966841›Full record

ArticleFrontiers in medicine2022

A multicenter prospective cohort study of cardiac ultrasound phenotypes in patients with sepsis: Study protocol for a multicenter prospective cohort trial.

Hongxuan Zhang, Xiaoting Wang, Wanhong Yin, Hongmin Zhang, Lixia Liu, Pan Pan, Ying Zhu, Wei Huang, Zhiqun Xing, Bo Yao and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05161104 (A Multicenter Cross-sectional Study of Cardiac Ultrasound Phenotypes in Patients With Sepsis), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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.

NCT05161104 unknown statusnot on this map

A Multicenter Cross-sectional Study of Cardiac Ultrasound Phenotypes in Patients With Sepsis

TypeobservationalSponsorFujian Provincial HospitalRan2021 to 2025Enrolled200ConditionsCardiac Ultrasound Phenotypes, Septic Myocardial Suppression, Hyperdynamic State Left Ventricular Function in Sepsis Patients, Outcome
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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 at 11 institutions in 1 country.

Hongxuan ZhangThe Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, China.
Xiaoting WangDepartment of Critical Care Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Wanhong YinDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Hongmin ZhangDepartment of Critical Care Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Lixia LiuDepartment of Critical Care Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Pan PanDepartment of Respiratory and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
Ying ZhuDepartment of Critical Care Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wei HuangDepartment of Critical Care Medicine, School of Medicine, First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
Zhiqun XingDepartment of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Bo YaoDepartment of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Cui WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Tianlai LinDepartment of Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Rongguo YuThe Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, China.
Xiuling ShangThe Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, China.
Fujian Medical University · CNFujian Provincial Hospital · CNAffiliated Hospital of Qingdao University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese PLA General Hospital · CNFirst Affiliated Hospital of Anhui Medical University · CNFirst Affiliated Hospital of Xiamen University · CNFourth Hospital of Hebei Medical University · CNHangzhou First People's Hospital · CNShandong First Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-induced cardiomyopathy significantly increased the mortality of patients with sepsis. The diagnostic criteria for septic cardiomyopathy has not been unified, which brings serious difficulties to clinical treatment. This study aimed to provide evidence for the early identification and intervention in patients with sepsis by clarifying the relationship between the ultrasound phenotype of septic cardiomyopathy and the prognosis of patients with sepsis. Methods: This was a multicenter, prospective cohort study. The study population will consist of all eligible consecutive patients with sepsis or septic shock who meet the Sepsis 3.0 diagnostic criteria and were aged ≥18 years. Clinical data and echocardiographic measurements will be recorded within 2 h, at the 24th hour, at the 72nd hour, and on the 7th day after admission. The prevalence of each phenotype will be described as well, and their association with prognosis will be analyzed statistically. Discussion: To achieve early recognition, prevent reinjury, achieve precise treatment, and reduce mortality in patients with sepsis, it is important to identify septic cardiac alterations and classify the phenotypes at all stages of sepsis. First, there is a lack of studies on the prevalence of each phenotype in Chinese populations. Second, each phenotype and its corresponding prognosis are not clear. In addition, the prognosis of patients with normal cardiac ultrasound phenotypes vs. those with suppressed or hyperdynamic cardiac phenotypes is unclear. Finally, this study was designed to collect data at four specific timing, then the timing of occurrence, duration, changes over time, impact to outcomes of each phenotype will probably be found. This study is expected to establish a standard and objective method to assess the ultrasound phenotype of septic cardiomyopathy due to its advantages of visualization, non-invasiveness and reproducibility, and to provide more precise information for the hemodynamic management of septic patients. In addition, this research will promote the clinical application of critical care ultrasound, which will play an important role in medical education and make ultrasound the best method to assess cardiac changes in sepsis. Trial registration: https://clinicaltrials.gov/ct2/show/NCT05161104, identifier NCT05161104.

Indexed as

cardiac phenotypeprognosissepsisseptic cardiomyopathyultrasound

Identifiers

PMID35966841
PMCPMC9363883
OpenAlexW4288033832

What OpenQuestion holds

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LicenceCC BY
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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.