Evidence map›Paper›PMID 37951926›Full record

ArticleEuropean journal of medical research2023

Prediction factors and clinical significance of different types of hemorrhagic transformation after intravenous thrombolysis.

Yanan Hao, Huan Zhou, Chengzhen Pan, Guomin Xie, Jin Hu, Bing Zhang, Shuxia Qian, Shenqiang Yan, CASE II investigators

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Yanan Hao *Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Huan Zhou *Department of Neurology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
Chengzhen PanDepartment of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Guomin XieDepartment of Neurology, Lee Hui-Lee East Hospital, Ningbo, China.
Jin HuDepartment of Neurology, The First Affiliated Hospital of Jiaxing University, Jiaxing, China.
Bing ZhangDepartment of Neurology, Huzhou Central Hospital, Huzhou, China.
Shuxia QianDepartment of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China. shuxia_630@163.com.
Shenqiang YanDepartment of Neurology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China. shenqiangyan@zju.edu.cn.
CASE II investigators
Jiaxing University · CNHuzhou Central Hospital · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

National Natural Science Foundation of China 82171274public welfare research plan of Jiaxing Science and Technology Bureau 2019AD32168
6 · The paper itself

Abstract

background and purposeHemorrhagic transformation (HT) after intravenous thrombolysis (IVT) in acute ischemic stroke seriously affects the prognosis of patients. This study aimed to investigate the risk factors of different types of HT and their correlation with prognosis after IVT.

methodsBased on the CASE II registry, we included patients with acute ischemic stroke who received IVT within 4.5 h of onset. HT was further divided into hemorrhagic infarction (HI) and parenchymal hemorrhage (PH). Poor outcome was defined as a modified Rankin Scale (mRS) score of 3-6 at 3 months. Multivariate logistic regression analysis was used to determine the independent influencing factors of HT subtypes and clinical outcome.

resultsAmong 13108 included patients, 541 (4.1%) developed HI and 440 (3.4%) developed PH. In multivariate analysis, age (OR 1.038, 95% CI 1.028 to 1.049, p < 0.001), atrial fibrillation (OR 1.446, 95% CI 1.141 to 1.943, p = 0.002), baseline diastolic pressure (OR 1.012, 95% CI 1.004 to 1.020, p = 0.005), baseline NIHSS score (OR 1.060, 95% CI 1.049 to 1.071, p < 0.001) and onset to treatment time (OR 1.002, 95% CI 1.000 to 1.004, p = 0.020) independently predicted PH after IVT. In the patients with HT, PH (OR 3.611, 95% CI 2.540 to 5.134, p < 0.001) and remote hemorrhage (OR 1.579, 95% CI 1.115 to 2.235, p = 0.010) were independently related to poor outcome.

conclusionsDifferent types of HT after IVT had different risk factors and clinical significance. The occurrence of PH and remote hemorrhage independently increased the risk of poor outcome.

Indexed as

Brain IschemiaIschemic StrokeStrokeClinical RelevanceHemorrhageHumansThrombolytic TherapyTissue Plasminogen ActivatorTreatment OutcomeTissue Plasminogen ActivatorCerebral HemorrhageIschemic strokeThrombolytic Therapy

Identifiers

PMID37951926
PMCPMC10638828
OpenAlexW4388600591

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LicenceCC BY
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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.