Evidence map›Paper›PMID 35284848›Full record

ArticleThe Lancet regional health. Western Pacific2022

Diagnostic accuracy of major stroke types in Chinese adults: A clinical adjudication study involving 40,000 stroke cases.

Iain Turnbull, Robert Clarke, Neil Wright, Yu Guo, Christina Kartsonaki, Pei Pei, Alex Hacker, Canqing Yu, Simon Gilbert, Ling Yang and 6 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

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  13. Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults.International journal of stroke : official journal of the International Stroke Society · 2023
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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

16 authors at 4 institutions in 2 countries.

Iain TurnbullClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Robert ClarkeClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Neil WrightClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Christina KartsonakiClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Pei PeiChinese Academy of Medical Sciences, Beijing, China.
Alex HackerClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Canqing YuDepartment of Epidemiology, School of Public Health, Peking University Health Science Center, Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China.
Simon GilbertClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Jinyi ZhouNCDs Prevention and Control Department, Jiangsu CDC, Zhejiang Province, China.
Sam SansomeClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Jun LvDepartment of Epidemiology, School of Public Health, Peking University Health Science Center, Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China.
Liming LiDepartment of Epidemiology, School of Public Health, Peking University Health Science Center, Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford OX3 7LF, UK.
University of Oxford · GBPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Provincial Center for Disease Control and Prevention · CN

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 29186Medical 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: Widespread use of brain imaging in suspected stroke cases in Chinese adults has prompted the need for clinical adjudication studies of stroke types. We conducted a clinical adjudication study to assess the reporting and diagnostic accuracy of major stroke types. Methods: The prospective China Kadoorie Biobank recruited >512,000 adults (mean age 52 years, 59% women) from 10 urban and rural areas in China during 2004-2008, and recorded 45,859 first-ever incident stroke cases during an 11-year follow-up. Medical records were retrieved in ∼85%, and clinical details were recorded using a handheld computer for specialist physician adjudicators who applied conventional WHO clinical criteria for diagnosis of stroke. The positive predictive value (PPV) for reported and adjudicated stroke cases was examined for major stroke types (ischaemic stroke [IS], intracerebral haemorrhage [ICH], subarachnoid haemorrhage [SAH]), calendar year, area, and hospital type. Findings: Of 38,823 cases with retrieved medical records, the PPV for reported strokes was 91%. Among 29,952 adjudicated cases, the PPV for adjudicated cases was 81%, with higher PPV for ICH ( Interpretation: While the overall reporting and diagnostic accuracy of stroke types in Chinese adults is high, the recent implementation of new diagnostic criteria for IS has important implications for contemporary clinical practice and research on stroke in Chinese populations. Funding: Kadoorie Charitable Foundation, Hong Kong, China, UK Wellcome Trust (212946/Z/18/Z, 202922/Z/16/Z, 104085/Z/14/Z, 088158/Z/09/Z), Chinese National Natural Science Foundation (91843302), and the National Key Research and Development Program of China (2016YFC0900500, 2016YFC0900501, 2016YFC0900504, 2016YFC1303904). British Heart Foundation, and UK Medical Research Council, and Cancer Research UK.

Indexed as

Clinical adjudicationDiagnostic accuracyMajor stroke typesStroke phenotype

Identifiers

PMID35284848
PMCPMC8904614
OpenAlexW4220865380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.