Evidence map›Paper›PMID 37485395›Full record

ArticleFrontiers in nutrition2023

Association between ultra-processed food intake and risk of colorectal cancer: a systematic review and meta-analysis.

Long Shu, Yiqian Huang, Caijuan Si, Qin Zhu, Peifen Zheng, Xiaoyan Zhang

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 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

14 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Ultra-processed foods and food additives in gut health and disease.Nature reviews. Gastroenterology & hepatology · 2024
    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

6 authors.

Long ShuDepartment of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Yiqian HuangDepartment of Anesthesia Surgery, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Caijuan SiDepartment of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Qin ZhuDepartment of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Peifen ZhengDepartment of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Xiaoyan ZhangDepartment of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although some epidemiological studies have shown a positive relationship between high intake of ultra-processed food (UPF) and risk of colorectal cancer (CRC), the results remain inconsistent. Therefore, we conducted this systematic review and meta-analysis to clarify the association between UPF intake and CRC risk. Methods: PubMed/MEDLINE, Web of Science, EMBASE, China National Knowledge Infrastructure (CNKI) and Wan fang databases were used to search the relevant studies published up to February 2023. The summary relative risks (RRs) with the corresponding 95% confidence intervals (CIs) were estimated by comparing the highest category vs. the lowest category of UPF intake, using the random-effects models (DerSimonian-Laird method). Heterogeneity between studies was explored using the Cochran's Q test and I-square (I Results: A total of seven articles (three cohort and four case-control studies), involving 18,673 CRC cases and 462,292 participants, were included in our study. Combining nine effect sizes from seven articles, an increased risk of CRC was shown in the highest compared with the lowest category of UPF intake (RR = 1.26; 95%CI:1.14-1.38, Conclusion: Our results show that high UPF intake is significantly associated with a higher risk of CRC, in the absence, however, of a dose-response association. Further studies in particular of large prospective cohort studies are necessary to confirm these results.

Indexed as

colorectal cancermeta-analysisNOVAsystematic reviewultra-processed food

Identifiers

PMID37485395
PMCPMC10358360

What OpenQuestion holds

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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.