Evidence map›Paper›PMID 32571805›Full record

ArticleStroke and vascular neurology2021

Management characteristics and prognosis after stroke in China: findings from a large nationwide stroke registry.

Haiqiang Qin, Yiping Chen, Gaifen Liu, Iain Turnbull, Runhua Zhang, Zixiao Li, Yilong Wang, Liping Liu, Xingquan Zhao, Zhengming Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Stroke and vascular neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 43 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

11 authors at 2 institutions in 2 countries.

Haiqiang QinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4500-7508
Yiping ChenMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK.
Gaifen LiuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-7038-3444
Iain TurnbullMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK.
Runhua ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4825-191X
Zixiao LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-4713-5418
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Liping LiuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhengming ChenMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK.
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China yongjunwang@ncrcnd.org.cn.ORCID 0000-0002-9976-2341
Capital Medical University · CNUniversity of Oxford · GB

Funding

Cancer Research UK 29186Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

background and purposeThere is limited nationwide evidence about the standard management characteristics of stroke types and prognosis in China. This study aimed to assess clinical characteristics, in-hospital and after-discharge management characteristics and prognosis for stroke types in China.

methodsA nationwide registry recruited 14 244 imaging-confirmed first-ever incident strokes from 132 hospitals across 31 provinces of China during 2007-2008, recording presenting characteristics, diagnostic procedures and in-hospital treatment. After hospital discharge, patients were followed up for 6 months. Conventional statistical methods were used to examine the patterns of management and prognosis.

resultsOverall, 68.7%, 26.9% and 4.4% were ischaemic stroke (IS), intracerebral haemorrhage (ICH), and subarachnoid haemorrhage (SAH), respectively. Only 20% were managed in a dedicated stroke unit. Among IS, 1.3% received thrombolysis within 3 hours after symptom onset, whereas the proportions of receiving in-hospital antiplatelet therapy, neuroprotective agents and traditional Chinese medicines (TCM) were 88.4%, 69.7% and 70.6%, respectively. For ICH, 63.3% and 36.3% received neuroprotective agents and TCM in hospital, respectively. At discharge, 70.7% and 38.0% of the patients with IS were given antiplatelet and statin therapies, respectively, decreasing to 64.8% and 23.9%, respectively, at 6 months. In-hospital mortality was 3.2%, 9.3% and 10.1% for IS, ICH and SAH, respectively, with a further 8.6%, 18.2% and 22.0%, respectively, died by 6 month. Meanwhile, in-hospital recurrence rate was 2.6%, 1.9% and 7.2% for IS, ICH and SAH, respectively, with a further 8.0%, 5.1% and 7.5%, respectively, recurred by 6 month.

conclusionsIn China, the mortality rate of stroke is lower than that reported from west populations, though most strokes are not managed in specialised stroke unit. There is widespread use of some unproven therapies but limited proven treatments, especially after discharge, leading to unnecessary recurrent risks.

Indexed as

Brain IschemiaStrokeChinaHumansPrognosisRegistriesRisk Factorsmanagement characteristicprognosisregistrystroke

Identifiers

PMID32571805
PMCPMC8005905
OpenAlexW3036457502

What OpenQuestion holds

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LicenceCC BY-NC
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.