Trial reportTrials2019
Fecal microbiome as determinant of the effect of diet on colorectal cancer risk: comparison of meat-based versus pesco-vegetarian diets (the MeaTIc study).
Trial report in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers.
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.
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.
Faecal Microbiome as Determinant of the Effect of Diet on Colorectal-cancer Risk: Comparison of Meat Based Versus Pesco-vegetarian Diets (MeaTIc)
Diet and Chronotype: a Randomized Controlled Trial to Evaluate the Effects of a Chronotype-adapted Diet on Weight Loss in Overweight/Obese Subjects
Who cites it
16 citing papers in PubMed.
- Effects of meat-based, meat-based with α-tocopherol, and pesco-vegetarian diets on biomarkers associated with colorectal cancer risk: a randomized behavioral intervention trial.Scientific reports · 2025Trial
- Associations of Adiposity With Gut Microbiota Composition Among Adults-Results From a Federated Analysis of Individual Participant Data From Eight European Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Combination of a pesco vegetarian diet with non-steroidal anti-inflammatory drugs reduces colorectal cancer risk and modulates gut microbiota in PIRC rats.Scientific reports · 2026Article
- The Microbiota-Diet-Immunity Axis in Cancer Care: From Prevention to Treatment Modulation and Survivorship.Nutrients · 2025Review
- Gut microbiota in colorectal cancer: a review of its influence on tumor immune surveillance and therapeutic response.Frontiers in oncology · 2025Review
- Effect of Gut Dysbiosis on Onset of GI Cancers.Cancers · 2024Review
- Association of Life's Essential 8 with all-cause mortality and risk of cancer: a prospective cohort study.BMC public health · 2024Article
- Interaction of human gut microbiota and local immune system in progression of colorectal adenoma (MIMICA-1): a protocol for a prospective, observational cohort study.Frontiers in oncology · 2024Article
- Berberine inhibits high fat diet-associated colorectal cancer through modulation of the gut microbiota-mediated lysophosphatidylcholine.International journal of biological sciences · 2023Article
- Effect of gut microbiota in the colorectal cancer and potential target therapy.Discover oncology · 2022Review
- Article
- Surfeit folic acid, protein, and exercise modify oncogenic inflammatory biomarkers and fecal microbiota.Frontiers in nutrition · 2022Article
- Diet-gut microbiota interactions on cardiovascular disease.Computational and structural biotechnology journal · 2022Review
- Emerging Evidence on the Effects of Dietary Factors on the Gut Microbiome in Colorectal Cancer.Frontiers in nutrition · 2021Review
- Mycotoxin and Gut Microbiota Interactions.Toxins · 2020Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConvincing evidence suggests that the risk of colorectal cancer (CRC) is increased by the typical Western diet characterized by high consumption of red and processed meat. In addition, some epidemiological studies suggest a reduction in the risk of CRC associated with fish consumption. The role of the gut microbiome in this diet-associated risk is not well understood. METHODS/
designThis is a randomized parallel open clinical trial comprising a total of 150 clinically healthy subjects randomly assigned to three groups: a meat-based diet of which 4 portions per week are red meat (1 portion = 150 g), 3 portions per week are processed meat (1 portion = 50 g), and 1 portion per week is poultry (1 portion = 150 g), for a total amount of 900 g per week of meat and derivatives; a meat-based diet supplemented with alpha-tocopherol; and a pesco-vegetarian diet excluding fresh and processed meat and poultry, but which includes 3 portions per week of fish for a total amount of 450 g per week. Each intervention will last 3 months. The three diets will be isocaloric and of three different sizes according to specific energy requirements. Anthropometric measurements, body composition, and blood and fecal samples will be obtained from each participant at the beginning and end of each intervention phase. The measure of the primary outcome will be the change from baseline in DNA damage induced by fecal water using the comet assay in a cellular model. Secondary outcome measures will be changes in the profile of fecal microbiomes, global fecal and urinary peroxidation markers, and neoplastic biomarkers. DISCUSSION: Although epidemiological data support the promoting role of meat and the possible protective role of fish in colon carcinogenesis, no study has directly compared dietary profiles characterized by the presence of these two food groups and the role of the gut microbiome in these diet-associated CRC risks. This study will test the effect of these dietary profiles on validated CRC risk biomarkers.
trial registrationClinicalTrials.gov, NCT03416777. Registered on 3 May 2018.
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Registered trials
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.