Evidence map›Paper›PMID 35912390›Full record

ArticleEmergency medicine international2022

Meta-Analysis of Predictive Role of Early Neurological Deterioration after Intravenous Thrombolysis.

Haiwei Jiang, Jing Zuo, Dan Wang, Yi Huang, Chang Gao, Yue Wan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Emergency medicine international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Haiwei JiangDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0003-0860-8988
Jing ZuoDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0002-0833-0886
Dan WangDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0001-8187-4583
Yi HuangDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0002-1407-7821
Chang GaoDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0002-1207-7457
Yue WanDepartment of Neurology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan 430033, Hubei Province, China.ORCID https://orcid.org/0000-0002-0911-8625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the popularization of intravenous thrombolysis, more and more people use intravenous thrombolysis to treat related diseases, but problems also arise. There are still a considerable number of patients with early disease after thrombolytic therapy not only not significantly improving, but also progressing, that is, early neurological deterioration (END). In view of this problem, the prediction of END after intravenous thrombolysis becomes very important. With the development of medical technology, research on the prediction of END after intravenous thrombolysis has gradually been carried out. Effective prediction is of great significance for the prevention and treatment of END after intravenous thrombolysis. This article aimed to carry out a meta-analysis of the predictive role of END after intravenous thrombolysis. Through an informed analysis of all studies of this type in this field, this article determines a method for predicting END after intravenous thrombolysis. The actual effect of its role is revealed in this paper, and its purpose is to promote the development of this field. This article addresses the same type of study on the predictive role of neurological deterioration after intravenous thrombolysis. The article performs test and meta-analysis of its role by conditionally searching for literature studies. It is explained using the relevant theoretical formulas. The analysis results show that the prediction of END after intravenous thrombolysis in this paper can effectively help make a preliminary judgment on the possible later neurological deterioration. Although there is an error between the predicted curve and the actual curve, the difference between the two is between 1% and 5%. It can basically effectively predict the occurrence of END. Therefore, the prediction of END after intravenous thrombolysis has a very large preventive effect on the END after intravenous thrombolysis.

Identifiers

PMID35912390
PMCPMC9337960

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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.