Evidence map›Paper›PMID 33468573›Full record

SynthesisHeart (British Cardiac Society)2021

Fried-food consumption and risk of cardiovascular disease and all-cause mortality: a meta-analysis of observational studies.

Pei Qin, Ming Zhang, Minghui Han, Dechen Liu, Xinping Luo, Lidan Xu, Yunhong Zeng, Qing Chen, Tieqiang Wang, Xiaoliang Chen and 9 more

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Heart (British Cardiac Society), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  6. Review
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  14. High fried food consumption impacts anxiety and depression due to lipid metabolism disturbance and neuroinflammation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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  18. Review
4 · The record

Corrections and comments

  • Commented on by
    2021
5 · Who and what money

Authors and funding

19 authors at 6 institutions in 1 country.

Pei Qin *Department of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Ming Zhang *Department of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Minghui HanDepartment of Epidemiology and Health Statistics, Zhengzhou University, Zhengzhou, Henan, China.
Dechen LiuDepartment of Epidemiology and Health Statistics, Zhengzhou University, Zhengzhou, Henan, China.
Xinping LuoDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Lidan XuDepartment of Nutrition, The Second Affilicated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
Yunhong ZengDepartment of Health Management, University of Chinese Academy of Sciences Shenzhen Hospital, Shenzhen, China.
Qing ChenDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, China.
Tieqiang WangDepartment of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, China.
Xiaoliang ChenDepartment of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, China.
Qionggui ZhouDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Quanman LiDepartment of Epidemiology and Health Statistics, Zhengzhou University, Zhengzhou, Henan, China.
Ranran QieDepartment of Epidemiology and Health Statistics, Zhengzhou University, Zhengzhou, Henan, China.
Xiaoyan WuDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Yang LiDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Yanyan ZhangDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Yuying WuDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.
Dongsheng HuDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China.ORCID 0000-0002-9998-8041
Fulan HuDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, Guangdong, China hufu1525@163.com.ORCID 0000-0002-2386-1503
Shenzhen University Health Science Center · CNShenzhen University · CNZhengzhou University · CNShenzhen Center for Disease Control and Prevention · CNShenzhen Second People's Hospital · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe performed a meta-analysis, including dose-response analysis, to quantitatively determine the association of fried-food consumption and risk of cardiovascular disease and all-cause mortality in the general adult population.

methodsWe searched PubMed, EMBASE and Web of Science for all articles before 11 April 2020. Random-effects models were used to estimate the summary relative risks (RRs) and 95% CIs.

resultsIn comparing the highest with lowest fried-food intake, summary RRs (95% CIs) were 1.28 (1.15 to 1.43; n=17, I

conclusionsFried-food consumption may increase the risk of cardiovascular disease and presents a linear dose-response relation. However, the high heterogeneity and potential recall and misclassification biases for fried-food consumption from the original studies should be considered.

Indexed as

Observational Studies as TopicCardiovascular DiseasesCause of DeathFast FoodsGlobal HealthHumansIncidenceRisk Factorsepidemiologymeta-analysis

Identifiers

PMID33468573
OpenAlexW3122832381

What OpenQuestion holds

Textmetadata
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.