Evidence map›Paper›PMID 36771436›Full record

SynthesisNutrients2023

Comprehensive Investigation on Associations between Dietary Intake and Blood Levels of Fatty Acids and Colorectal Cancer Risk.

Ying Lu, Doudou Li, Lijuan Wang, Han Zhang, Fangyuan Jiang, Rongqi Zhang, Liying Xu, Nan Yang, Shuhui Dai, Xiaolin Xu and 2 more

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
13.9field-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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  12. Associations Between Prescreening Dietary Patterns and Longitudinal Colonoscopy Outcomes in Veterans.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Article
  13. Article
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  15. Nutrients Lowering Obesity-Linked Chemokines Blamable for Metastasis.International journal of molecular sciences · 2025
    Review
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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

12 authors at 3 institutions in 2 countries.

Ying LuThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Doudou LiCollege of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Lijuan WangThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Han ZhangCollege of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Fangyuan JiangThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Rongqi ZhangThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Liying XuThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Nan YangThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Shuhui DaiThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Xiaolin XuThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
Evropi TheodoratouCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
Xue LiThe Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Department of Big Data in Health Science, School of Public Health, Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.ORCID 0000-0001-6880-2577
Zhejiang University · CNZhengzhou University · CNEdinburgh Cancer Research · GB

Funding

Cancer Research UK 22804Evropi Theodoratou C31250/A22804Xue Li LR22H260001
6 · The paper itself

Abstract

backgroundIncreasingly, studies have discovered that different fatty acids (Fas) are linked to colorectal cancer (CRC) risk.

methodsWe systematically searched Embase and Medline databases to identify eligible studies that examined the associations of different types of Fas with CRC risk. The effect estimates and their 95% confidence intervals (Cis) were pooled using a random-effects model. Subgroup and sensitivity analyses were performed to examine the robustness of the study findings.

resultsThis study evaluated the associations of 28 dietary and 18 blood Fas with CRC risk by summarizing the most updated evidence from 54 observational and four Mendelian Randomization (MR) studies. The present findings suggested that high dietary intake of eicosapentaenoic acid (EPA), docosahexanoic acid (DHA), and docosapentaenoic acid (DPA) are related to low risk of CRC, while the

conclusionsCurrent evidence on the dietary intake and blood levels of Fas in relation to CRC risk is less consistent. Future studies are needed to investigate how the metabolism of Fas contributes to CRC development.

Indexed as

Colorectal NeoplasmsFatty Acids, Omega-3Rectal NeoplasmsEatingFatty AcidsHumansObservational Studies as TopicRisk FactorsFatty AcidsFatty Acids, Omega-3CRCFasmeta-analysesMUFAPUFAtrans-FA

Identifiers

PMID36771436
PMCPMC9919095
OpenAlexW4318832311

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.