Evidence map›Paper›PMID 35693051›Full record

ArticleLe infezioni in medicina2022

Development of a nomogram to assess the impact of the myocardial injury on the prognosis of COVID-19 patients.

Mengdi Jin, Zhijun Li, Xinwei Li, Mengtong Xie, Weizhen Li, Lizhe Ai, Yaoyao Sun, Xiaodan Cheng, Yan Sheng, Jinnan Zhang and 2 more

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

Article in Le infezioni in medicina, 2022. 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
0.2field-weighted citation impact, top 50% 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, 2 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Mengdi JinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Zhijun LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xinwei LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Mengtong XieDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Weizhen LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Lizhe AiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yaoyao SunDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Xiaodan ChengDepartment of Critical Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Yan ShengDepartment of Critical Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
Jinnan ZhangDepartment of Neurosurgery, China-Japan union hospital of Jilin University, Changchun, China.
Nan JiangDepartment of Emergency, China-Japan Union Hospital of Jilin University, Changchun, China.
Qiong YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jilin University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has been spreading worldwide. Many COVID-19 patients were accompanied by myocardial injury during the course of the disease. To evaluate the association of cardiac injury with clinical outcomes in COVID-19 patients, we recruited 261 COVID-19 cases admitted to Tongji Hospital of Huazhong University of Science and Technology in this study. Compared with patients without myocardial injury, those with myocardial injury were older, with shorter hospital stays and lower survival rates. They also had higher levels of inflammatory biomarkers (Interleukin-6,8,10 and C-reactive protein), coagulation biomarkers, liver and kidney function markers. Kaplan-Meier analysis demonstrated that patients with myocardial injury had a higher mortality rate. The multivariate Cox regression model and the nomogram revealed that myocardial injury, co-morbidity, and abnormal procalcitonin (PCT) levels were independent risk factors of the mortality of COVID-19 patients. The linear correlation analysis and the ROC curve suggested a predictive value of the neutrophil-lymphocyte ratio (NLR) in cardiac injury. Summarily, myocardial injury in COVID-19 patients is associated with a higher mortality risk. Attention should be paid to monitoring myocardial injury in patients with significantly elevated myocardial markers and NLR at admission.

Indexed as

COVID-19myocardial injurynomogrampredictionsurvival

Identifiers

PMID35693051
PMCPMC9177173
OpenAlexW4285743009

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.