Evidence map›Paper›PMID 41103317›Full record

ArticleFrontiers in nutrition2025

Adherence to the diet with higher protein quality reduces the risk of colorectal cancer: results from a population-based prospective study.

Dazhan Feng, Ke Wen, Junxia Xue, Yi Xiao, Haitao Gu, Linglong Peng, Yuxiang Luo, Ling Xiang, Yaxu Wang, Dengliang Liu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Dazhan Feng *Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ke Wen *Department of Radiation Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Junxia XueDepartment of Radiation Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Yi XiaoDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Haitao GuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Linglong PengDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxiang LuoErasmus University Medical Center, Rotterdam, Netherlands.
Ling XiangDepartment of Clinical Nutrition, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yaxu WangDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Dengliang LiuDepartment of Gastrointestinal Surgery, Chongqing Jiulongpo People's Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Protein quantity's link to colorectal cancer (CRC) risk is known, but protein quality's impact on US populations remains unclear. This study fills the gap via a population - based prospective study of 101,709 American adults from the PLCO Cancer Screening Trial. Methods: From 154,887 adults aged 55-74 years at 10 US screening centers, we formed the study group. HPPQI was calculated from the DHQ. Cox regression analysis determined HRs and 95% CIs for HPPQI - CRC associations. Subgroup and sensitivity analyses identified modifiers and ensured robustness. Results: During the study period, 1100 CRC cases and 314 CRC-related deaths were documented. In our result, HPPQI was significantly negatively associated with incidence of CRC (HR Q4 vs. Q1: 0.77; 95% CI: 0.65, 0.93; Conclusion: Our findings suggest focusing on higher quality of protein consumption may be an effective approach to reduce the risk of CRC in the US population.

Indexed as

cancer preventioncohort studycolorectal cancerepidemiologyhealthy plate protein quality index

Identifiers

PMID41103317
PMCPMC12520953

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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.