Evidence map›Paper›PMID 38166986›Full record

ArticleBMC public health2024

Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999-2018.

Yukang Mao, Jiayi Weng, Qiyang Xie, Lida Wu, Yanling Xuan, Jun Zhang, Jun Han

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
53.2field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 98 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

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

7 authors at 5 institutions in 1 country.

Yukang Mao *Department of Cardiology, Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, 215008, Suzhou, China.
Jiayi Weng *Department of Cardiology, Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, 215008, Suzhou, China.
Qiyang Xie *Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Lida WuDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, 210006, Nanjing, China.
Yanling XuanNanjing University of Chinese Medicine, 210006, Nanjing, China.
Jun ZhangDepartment of Cardiology, Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, 215008, Suzhou, China. zhangjun0808@njmu.edu.cn.
Jun HanDepartment of Infectious Diseases, Affiliated Wuxi Fifth Hospital of Jiangnan University, The Fifth People's Hospital of Wuxi, 214065, Wuxi, China. hanjuncool1989@126.com.
Nanjing Medical University · CNJiangsu Province Hospital · CNNanjing University of Chinese Medicine · CNSuzhou Municipal Hospital · CNWuxi Fourth People's Hospital · CN

Funding

National Natural Science Foundation of China 82100360
6 · The paper itself

Abstract

backgroundThere is an increasing awareness that diet-related inflammation may have an impact on the stroke. Herein, our goal was to decipher the association of dietary inflammatory index (DII) with stroke in the US general population.

methodsWe collected the cross-sectional data of 44,019 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The association of DII with stroke was estimated using weighted multivariate logistic regression, with its nonlinearity being examined by restricted cubic spline (RCS) regression. The least absolute shrinkage and selection operator (LASSO) regression was applied for identifying key stroke-related dietary factors, which was then included in the establishment of a risk prediction nomogram model, with the receiver operating characteristic (ROC) curve being built to evaluate its discriminatory power for stroke.

resultsAfter confounder adjustment, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for stroke across higher DII quartiles were 1.19 (0.94-1.54), 1.46 (1.16-1.84), and 1.87 (1.53-2.29) compared to the lowest quartile, respectively. The RCS curve showed a nonlinear and positive association between DII and stroke. The nomogram model based on key dietary factors identified by LASSO regression displayed a considerable predicative value for stroke, with an area under the curve (AUC) of 79.8% (78.2-80.1%).

conclusionsOur study determined a nonlinear and positive association between DII and stroke in the US general population. Given the intrinsic limitations of cross-sectional study design, it is necessary to conduct more research to ensure the causality of such association.

Indexed as

DietStrokeCross-Sectional StudiesHumansInflammationNutrition SurveysCross-sectional studyDIILASSONHANESStroke

Identifiers

PMID38166986
PMCPMC10763382
OpenAlexW4390501027

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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.