Evidence map›Paper›PMID 38345640›Full record

ArticleEuropean journal of nutrition2024

Sex-specific impact of dietary patterns on liver cancer incidence: updated results from two population-based cohort studies in China.

Qiu-Ming Shen, Jia-Yi Tuo, Zhuo-Ying Li, Jie Fang, Yu-Ting Tan, Wei Zhang, Hong-Lan Li, Yong-Bing Xiang

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

8 authors at 1 institution in 1 country.

Qiu-Ming ShenState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Jia-Yi TuoState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Zhuo-Ying LiState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Jie FangState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Yu-Ting TanState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Wei ZhangState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Hong-Lan LiState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China.
Yong-Bing XiangState Key Laboratory of Systems Medicine for Cancer & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, People's Republic of China. ybxiang@shsci.org.ORCID http://orcid.org/0000-0002-3840-9915
Shanghai Jiao Tong University · CN

Funding

National Key Project of Research and Development Program of China 2021YFC2500404National Key Project of Research and Development Program of China 2021YFC2500405US National Institutes of Health a subcontract of UM1 CA182910
6 · The paper itself

Abstract

purposeThe associations between dietary patterns and liver cancer risk have received much attention, but evidence among the Chinese population is scarce. This study aims to update the results of two cohort studies and provide the sex-specific associations in the Chinese population.

methodsThis study was based on two cohorts from the Shanghai Men's Health Study (SMHS) and the Shanghai Women's Health Study (SWHS). Diet information was collected by validated food frequency questionnaires. Dietary patterns were derived by factor analysis. Cox regression model was utilized to estimate the hazard ratio (HR) and 95% confidence interval (CI) for associations between dietary patterns and liver cancer risk.

resultsDuring median follow-up years of 11.2 (male) and 17.1 (female) years, 427 males and 252 females were identified as incident primary liver cancer cases. In males, vegetable-based dietary pattern was inversely associated with liver cancer (HR

conclusionA vegetable-based dietary pattern in males and a fruit-based dietary pattern in females tended to have a protective role on liver cancer risk. This study provided updated information that might be applied to guide public health action for the primary prevention of liver cancer.

Indexed as

DietLiver NeoplasmsAdultAgedChinaCohort StudiesFeeding BehaviorFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsCohort studyDietDietary patternLiver cancerNutrition

Identifiers

PMID38345640
OpenAlexW4391755580

What OpenQuestion holds

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Registered trials

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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.