Evidence map›Paper›PMID 35445833›Full record

ArticleEuropean journal of nutrition2022

Associations of erythrocyte polyunsaturated fatty acids with incidence of stroke and stroke types in adult Chinese: a prospective study of over 8000 individuals.

Liang Sun, Huaidong Du, Geng Zong, Yu Guo, Yan Chen, Yiping Chen, Huiyong Yin, Pei Pei, Ling Yang, Qianqian Chu and 10 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

20 authors at 6 institutions in 2 countries.

Liang SunShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Huaidong DuMRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Geng ZongShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Yan ChenShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Yiping ChenMRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huiyong YinShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Pei PeiChinese Academy of Medical Sciences, Beijing, China.
Ling YangMRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Qianqian ChuShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yixue LiBio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
He ZhengShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Puchen ZhouShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
Junshi ChenChina National Centre for Food Safety Risk Assessment, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, Big Data Institute Building, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK. zhengming.chen@ndph.ox.ac.uk.
Xu LinShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China. xlin@sibs.ac.cn.ORCID http://orcid.org/0000-0001-8876-9823
China Kadoorie Biobank Collaborative Group
Shanghai Institute of Nutrition and Health · CNUniversity of Oxford · GBPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNDeleted InstitutionShanghai Jiao Tong University · CN

Funding

China Scholarship Council State Scholarship Fund 201904910069Chinese Academy of Sciences XDB38010300Chinese Academy of Sciences ZDRW-ZS-2016-8Chinese National Natural Science Foundation 81390540Chinese National Natural Science Foundation 81390541Chinese National Natural Science Foundation 81390544Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2National Key Research and Development Program of China 2016YFC0900500National Key Research and Development Program of China 2016YFC0900501National Key Research and Development Program of China 2016YFC0900504National Key Research and Development Program of China 2016YFC1303904Shanghai Municipal Science and Technology Major Project 2017SHZDZX01UK Wellcome Trust 088158/Z/09/ZUK Wellcome Trust 104085/Z/14/ZUK Wellcome Trust 202922/Z/16/ZWellcome Trust 088158Wellcome Trust 104085Wellcome Trust 202922Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

purposeThere is limited and inconsistent evidence about the relationships of erythrocyte polyunsaturated fatty acids (PUFAs) with stroke and stroke types, particularly in China where the stroke rates are high. We aimed to investigate the associations of different erythrocyte PUFAs with incidence of total stroke, ischemic stroke (IS), and intracerebral hemorrhage (ICH) in Chinese adults.

methodsIn the prospective China Kadoorie Biobank, erythrocyte PUFAs were measured using gas chromatography in 10,563 participants who attended 2013-14 resurvey. After a mean follow-up of 3.8 years, 412 incident stroke cases (342 IS, 53 ICH) were recorded among 8,159 participants without prior vascular diseases or diabetes. Cox regression yielded adjusted hazard ratios (HRs) for stroke associated with 13 PUFAs.

resultsOverall, the mean body mass index was 24.0 (3.4) kg/m

conclusionAmong relatively lean Chinese adults, erythrocyte PUFAs 18:2n-6, 20:3n-6 and 20:5n-3 showed different associations with risks of IS and ICH. These results would improve the understanding of stroke etiology.

Indexed as

Fatty Acids, UnsaturatedStrokeAdultChinaErythrocytesHumansIncidenceMiddle AgedProspective StudiesRisk FactorsFatty Acids, UnsaturatedChineseIntracerebral hemorrhageIschemic strokePolyunsaturated fatty acidsProspective

Identifiers

PMID35445833
PMCPMC9363313
OpenAlexW4224286184

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.