Evidence map›Paper›PMID 29963244›Full record

ArticleOncotarget2018

Dietary patterns and primary liver cancer in Chinese adults: a case-control study.

Qiu-Ye Lan, Gong-Cheng Liao, Rui-Fen Zhou, Pei-Yan Chen, Xiao-Yan Wang, Min-Shan Chen, Yu-Ming Chen, Hui-Lian Zhu

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

8 authors.

Qiu-Ye LanSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Gong-Cheng LiaoSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Rui-Fen ZhouSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Pei-Yan ChenSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Xiao-Yan WangSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Min-Shan ChenDepartment of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, People's Republic of China.
Yu-Ming ChenSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.
Hui-Lian ZhuSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthy dietary patterns may prevent many chronic diseases, and is emphasized by 2015 US dietary guideline, but it remains unclear which dietary patterns may be benefit to prevention of primary liver cancer (PLC). MATERIALS AND

methodsWe recruited 782 PLC cases and 1:1 age- and sex-matched controls in Guangzhou, China. Habitual dietary intake was assessed by face-to-face interview using a 79-item food frequency questionnaire, and used to explore dietary patterns by factor analysis.

resultsThree dietary patterns were identified: 1) an urban prudent dietary pattern (UPDP) characterized by high in dairy products, eggs, mushrooms, nuts and soy foods, but low in refined grains; 2) a traditional Cantonese dietary pattern (TCDP) consisting of a high intake of fruit and vegetables, fish, Cantonese soup, and Chinese herb tea; and 3) a high meat and preserved food pattern (MPFP). Multivariable analyses showed favorable associations for the first two dietary patterns, but unfavorable association for the last one (all

conclusionsOur findings suggest that the UPDP and TCDP were associated with lower, whereas the MPFP with higher, risk of PLC.

Indexed as

dietary patternfactor analysisprimary liver cancer

Identifiers

PMID29963244
PMCPMC6021235

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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.