Evidence map›Paper›PMID 33499823›Full record

ArticleBMC neurology2021

Hemostasis functions are associated with hemorrhagic transformation in non-atrial fibrillation patients: a case-control study.

Hao-Ran Cheng, Yun-Bin Chen, Ya-Ying Zeng, Yi-Ting Ruan, Cheng-Xiang Yuan, Qian-Qian Cheng, Hui-Jun Chen, Xiao-Qian Luan, Gui-Qian Huang, Jin-Cai He

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Hemorrhagic Transformation of Ischemic Strokes.International journal of molecular sciences · 2023
    Review
  5. Article
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

10 authors at 1 institution in 1 country.

Hao-Ran Cheng *Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Yun-Bin Chen *Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Ya-Ying Zeng *Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Yi-Ting RuanDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Cheng-Xiang YuanDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Qian-Qian ChengSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Hui-Jun ChenDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Xiao-Qian LuanDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Gui-Qian HuangDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. huangguiqian123@126.com.
Jin-Cai HeDepartment of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. hjc@wmu.edu.cn.ORCID http://orcid.org/0000-0002-5493-4357
Wenzhou Medical University · CN

Funding

National Natural Science Foundation of China No.81873799
6 · The paper itself

Abstract

backgroundHemorrhagic transformation (HT) is a serious neurological complication of acute ischemic stroke (AIS) after revascularization. The majority of AIS patients do not have atrial fibrillation (AF) which could also develop into HT. In this study, we aimed to explore whether hemostasis parameters are risk factors of HT in non-AF patients.

methodsWe consecutively enrolled 285 AIS patients with HT. Meanwhile, age- and sex-matched 285 AIS patients without HT were included. The diagnosis of HT was determined by brain CT or MRI during hospitalization. All patients were divided into two subgroups based on the presence of AF and explore the differences between the two subgroups. Blood samples were obtained within 24 h of admission, and all patients were evenly classified into three tertiles according to platelet counts (PLT) levels.

resultsIn this study, we found the first PLT tertile (OR = 3.509, 95%CI = 1.268-9.711, P = 0.016) was independently associated with HT in non-AF patients, taking the third tertile as a reference. Meanwhile, we also found mean platelet volume (MPV) (OR = 0.605, 95%CI = 0.455-0.805, P = 0.001) and fibrinogen (FIB) (OR = 1.928, 95%CI = 1.346-2.760, P < 0.001) were significantly associated with HT in non-AF patients. But in AF patients, hemostasis parameters showed no significant difference. Meanwhile, we found the MPV (OR = 1.314, 95%CI = 1.032-1.675, P = 0.027) and FIB (OR = 1.298, 95%CI = 1.047-1.610, P = 0.018) were significantly associated with long-term outcomes in non-AF HT patients.

conclusionsLow PLT, low MPV, and high FIB levels were independently associated with HT in non-AF patients. Additionally, MPV and FIB levels were significantly associated with unfavorable long-term outcomes in non-AF HT patients. Our study showed that hemostasis functions at admission may be beneficial for clinicians to recognize patients with a high risk of HT at an early stage and improve unfavorable long-term outcomes in non-AF patients.

Indexed as

AgedAtrial FibrillationCase-Control StudiesCerebral HemorrhageFemaleFibrinogenHemostasisHumansIschemic StrokeMagnetic Resonance ImagingMaleMean Platelet VolumeMiddle AgedPlatelet CountRetrospective StudiesRisk FactorsFibrinogenAcute ischemic strokeAtrial fibrillationHemorrhagic transformationHemostasis function

Identifiers

PMID33499823
PMCPMC7836156
OpenAlexW3108611566

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.