Evidence map›Paper›PMID 36761916›Full record

ArticleFrontiers in neurology2022

Clinical study on the feasibility of new thrombus markers in predicting massive cerebral infarction.

Xiaoxia Zhao, Siyu Yang, Ruining Lei, Qiaoyan Duan, Jundong Li, Jiangtao Meng, Lei Sun

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

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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

7 authors.

Xiaoxia ZhaoDepartment of Neurology, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Siyu YangDepartment of Neurology, Fifth Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Ruining LeiDepartment of Neurology, Fifth Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Qiaoyan DuanClinical Laboratory, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Jundong LiMedical Imaging Department, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Jiangtao MengDepartment of Neurology, Fifth Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Lei SunZhao Furun Famous Doctor Studio in Shanxi Province, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the diagnostic performance of the thrombin-antithrombin complex (TAT), plasmin-α2 plasmin inhibitor complex (PIC), tissue plasminogen activator-plasminogen activator inhibitor complex (t-PAIC), and thrombomodulin (TM) in the early identification of massive cerebral infarction. Method: A total of 423 patients with cerebral infarction confirmed by imaging examination were divided into the massive cerebral infarction (MCI) group and the non-massive cerebral infarction (NMCI) group. TAT, PIC, t-PAIC, and TM were measured immediately after admission. The diagnostic performance was analyzed by the receiver characteristic operating curve (ROC). Result: The median plasma concentrations of TAT, PIC, and t-PAIC in patients with MCI at early onset were 5.10 ng/ml, 1.11 μg/ml, and 8.80 ng/ml, respectively, which were higher than those in patients with NMCI (2.20 ng/ml, 0.59 μg/ml, and 7.35 ng/ml), and the difference was statistically significant ( Conclusion: The detection of PIC, TAT, t-PAIC, and TM is a comprehensive assessment of vascular endothelial damage and activation of the coagulation and fibrinolytic systems and has diagnostic value for early identification of patients with MCI, which, together with its ease of detection, can be used as a plasma marker for early identification of large vessel occlusion.

Indexed as

diagnosismassive cerebral infarctionplasmin-α2 plasmin inhibitor complexthrombin-antithrombin complexthrombomodulintissue prothrombin activator-prothrombin activator inhibitor complex

Identifiers

PMID36761916
PMCPMC9905744

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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.