Cross-system summary: avoiding the system's forbidden foods (industrial eggs, chicken, dairy, white flour, UPF, soft drinks, leafy greens, legumes, acid blockers, supplements) prevents cancer.
Original statement
No Arabic original wording available.
Translation
Cross-system summary: avoiding the system's forbidden foods (industrial eggs, chicken, dairy, white flour, UPF, soft drinks, leafy greens, legumes, acid blockers, supplements) prevents cancer.
Origin
- Source status
- Archive editors
- Attribution
- Archive editorial (homepage summaries linking forbidden foods to cancer, e.g., eggs-prostate cancer, dairy-prostate/ovarian cancer, chicken-carcinogens, UPF-cancer, supplements-lung cancer); paraphrased summary by this review
- Origin
- https://eltayebat.com/
- Attribution uncertainty
- Written by archive operators; not attributed to Elawady.
- Population concerned
General population
- Geographic restriction by Elawady
none found
Scientific assessment
Unclear / insufficient evidence – The data do not allow an assessment either way.
Certainty of evidence: low – Further research is likely to change the assessment considerably.
1. What was claimed?
The forbidden-food list reduces cancer risk.
2. What is demonstrably correct?
Some elements align with evidence: avoiding soft drinks and limiting ultra-processed foods (I-CAN-113, I-CAN-112; UPF evidence low certainty, I-CAN-116), not using supplements for cancer prevention (I-CAN-115), and preferring whole grains to refined flour (I-WHT-01). Processed meat is an established carcinogen (I-MEAT-02).
3. What is wrong or exaggerated?
Other elements conflict with current guidance: the European Code Against Cancer 2026 recommends eating whole grains, vegetables, legumes and fruits daily (I-CAN-113); dairy intake is inversely associated with colorectal cancer, and poultry and legumes show no association (I-CAN-114); after colorectal cancer, milk and calcium are associated with lower mortality (I-CAN-111). Low intake of fruit/vegetables, fibre and calcium are counted as cancer risk factors (I-CAN-02), and in GBD 2019 all dietary risks together accounted for only 5.9% (males) and 5.1% (females) of cancer DALYs, versus 33.9% and 10.7% for tobacco (I-CAN-03).
4. What remains unclear?
Net effect of the whole pattern; see team topics eggs, poultry, dairy, legumes, leafy_greens, grains_starches, sugar_soda, processing_additives, residues, medicines_procedures.
5. Which studies support it?
I-CAN-02 (partial).
6. Which studies contradict it?
7. What applies to Germany and Europe?
Not region-specific; the attributable-risk analyses (I-CAN-02, I-CAN-03, I-SYS-01) apply in principle to Europe.
8. What is known about Egypt?
Not region-specific; the global analyses (I-SYS-01, I-CAN-03) cover all countries including Egypt, but Egypt-specific dietary cancer data were not extracted.
9. What practical conclusion is appropriate?
Cancer prevention rests mainly on no tobacco, limited alcohol, healthy weight, vaccination (HBV/HPV), screening, and a diet rich in fibre, whole grains, fruit and vegetables.
Assessment details
- Rationale for certainty of evidence
Single-food links are audited by other teams; at system level there is no study, and the pattern partly aligns and partly conflicts with known dietary cancer risks.
- Source quality
Archive editorial summaries.
- Regional transferability
High.
- Regional scope of the claim
- general (biological/medical)
- Last reviewed
- 26 October 2026 provisional
Scientific evidence in detail
Not supported by high-quality evidence – There is no good evidence for the claim; this alone does not prove it wrong.
Research question: Does avoiding the Tayebat forbidden foods (industrial eggs, chicken, dairy, white flour, UPF, soft drinks, leafy greens, legumes, acid blockers, supplements) reduce cancer risk?
Research question in detail (PECO)
- Population
- General population
- Intervention or exposure
- Avoidance of the listed foods/products
- Comparison
- Usual intake
- Geographic scope
- universal biology; production-dependent for contaminants
- Outcomes
- Cancer incidence
- Cancer mortality
Study results as reported by the authors. Our assessment follows below.
What speaks for the claim?
World Cancer Research Fund: 10 prevention recommendations
World Cancer Research Fund International. wcrf.org 2018 (page accessed 2026) Guideline / position statementabstract checkednewly addedWCRF: do not use supplements for cancer prevention; limit sugary drinks and fast food.
- Actual result
- Recommendations
- Methodological quality
- high
- Relevance
- direct for the supplements, soft drinks and UPF elements
- Limitations
- Does not support other bans.
Sugary drinks and cancer risk in France
Sugary drinks and cancer incidence.
- Actual result
- sHR 1.18 per 100 mL/day
- Methodological quality
- moderate
- Relevance
- direct for soft drinks
- Limitations
- Observational.
Fibre and whole grains and health
Reynolds A et al.. Lancet 2019 · PMID 30638909 · DOI 10.1016/S0140-6736(18)31809-9 Meta-analysisabstract checkedFibre/whole grains meta-analyses.
- Actual result
- Higher fibre and whole grains linked to lower colorectal cancer (as recorded)
- Methodological quality
- moderate
- Relevance
- supports avoiding refined (white) flour in favour of whole grains
- Limitations
- Observational.
What speaks against the claim?
European Code Against Cancer 2026: diet advice
Leitzmann MF et al.. Mol Oncol 2026 · PMID 41542809 · DOI 10.1002/1878-0261.70201 Guideline / position statementabstract checkednewly addedECAC5 recommends eating vegetables and legumes daily; dairy not restricted.
- Actual result
- Recommendation
- Methodological quality
- high
- Relevance
- direct contradiction of the legume/vegetable bans
- Limitations
- Consensus.
Which foods affect bowel cancer risk
Vieira AR et al.. Ann Oncol 2017 · PMID 28407090 · DOI 10.1093/annonc/mdx171 Meta-analysisabstract checkednewly addedWCRF CUP: dairy inversely associated with CRC; poultry and legumes not associated.
- Actual result
- Dairy RR ~0.87 per 400 g/day
- Methodological quality
- high
- Relevance
- direct
- Limitations
- Observational; prostate cancer not covered.
Diet after bowel cancer and survival
Chen QY et al.. J Natl Cancer Inst 2025 · PMID 40317134 · DOI 10.1093/jnci/djaf098 Meta-analysisabstract checkednewly addedAfter colorectal cancer, milk, low-fat dairy and calcium associated with lower mortality.
- Actual result
- Milk RR 0.82 (0.71-0.93)
- Methodological quality
- moderate
- Relevance
- direct for dairy ban
- Limitations
- Observational.
What does the overall evidence say?
Editorial assessment based on the studies above – not itself a study result.
Which position is better supported?
No study tests the whole Tayebat list. Several elements match evidence (avoid soft drinks, UPF, supplements for prevention, refined flour), while others conflict with it (legumes and vegetables are recommended; dairy is associated with lower colorectal cancer risk; poultry is neutral).
Why some studies weigh more
Guideline syntheses and the CUP meta-analysis weigh most.
Is a causal relationship established? Not established No system-level study; component evidence is observational.
Remaining uncertainty
Net effect of the whole pattern; acid blockers and industrial-egg contaminants are reviewed by other teams.
Justified conclusion
Whether the system as a whole prevents cancer is unknown; parts align and parts conflict with current evidence.
Why do studies seem to disagree?
Dairy: ECAC5 judged evidence heterogeneous (possible colorectal protection, possible prostate risk); this is a real uncertainty, not a contradiction between sources.
Does this depend on the country?
- General biological effects
- Universal human biology; applies in Egypt, Germany and elsewhere.
- Eating habits
- Not decisive for this claim.
- Origin of the food
- Production conditions (e.g. contaminants in industrial eggs or poultry) are reviewed by other teams; the cancer-prevention guidelines found no harm signal for poultry or legumes.
- Contaminants
- Not established as a cancer driver for the listed foods at usual EU exposure; aflatoxin omitted from ECAC5 due to low EU exposure (I-CAN-113).
- National production conditions
- Not relevant.
- Legal rules
- Not relevant.
- Actual monitoring data
- Not applicable.
A regional difference that changes the conclusion is not supported by robust data.
Statistical re-check
- Percent-to-RR conversion and CI symmetry – Plausible; minor asymmetry from rounding. recalculated
- CI symmetry; multiplicity – Symmetric; several exposures tested. recalculated
Certainty of the overall evidence (GRADE, simplified)
- Main outcome
- Cancer incidence with the Tayebat forbidden-food pattern
- Starting level
- low (observational studies)
- Reasons for downgrading
- indirectness (no study of the pattern)
- inconsistency between components
- Result
- low
Simplified assessment by a single reviewer, following the GRADE approach; not a formal GRADE panel. GRADE rates the body of evidence for one outcome, not individual studies.
Clinical guidelines and official statements checked
- IARC/WHO and European Commission (European Code Against Cancer, 5th ed.): ECAC5 - diet, excess body weight, physical activity, sedentary behavior, breastfeeding, and cancer (Mol Oncol 2026; PMID 41542809) (2026) · Original publication
Eat whole grains, vegetables, legumes and fruits as a major part of the daily diet; limit red meat and avoid processed meat; limit sugary drinks and ultra-processed foods; dairy and supplements not included because evidence is heterogeneous. - WCRF/AICR: Our Cancer Prevention Recommendations (2018 (accessed 2026)) · Original publication
Ten recommendations including eat wholegrains, vegetables, fruit and beans; limit fast foods, red and processed meat, sugar-sweetened drinks and alcohol; do not use supplements for cancer prevention; follow the recommendations after a cancer diagnosis if you can.
Search strategy
Documented literature searches for this review (search strings in the original database syntax).
| Database | Date | Search | Looking for | Hits | Included |
|---|---|---|---|---|---|
| Europe PMC | 26 October 2026 | TITLE:"Carcinogenicity of consumption of red and processed meat" | both directions | 2 | |
| Europe PMC | 26 October 2026 | TITLE:"Carbohydrate quality and human health" | both directions | 2 | |
| Europe PMC | 26 October 2026 | "European Code Against Cancer" AND ("5th edition" OR "fifth edition") | guidelines | 32 | |
| Europe PMC | 26 October 2026 | ("ultra-processed" OR "ultraprocessed") AND cancer AND (TITLE:cancer) AND (PUB_TYPE:"Meta-Analysis" OR TITLE:"umbrella" OR TITLE:"cohort") | supporting evidence | 89 | |
| Europe PMC | 26 October 2026 | TITLE:"European Code Against Cancer, 5th edition" AND (diet OR nutrition OR "body weight") | guidelines | 6 | |
| Europe PMC | 26 October 2026 | (Tayebat OR Tayibat OR Elawady OR "El-Awady diet" OR "Al-Awady") | both directions | 377 | |
| PubMed | 26 October 2026 | ("dietary pattern"[tiab] OR "diet quality"[tiab]) AND (cancer[ti]) AND (incidence[tiab]) AND meta-analysis[pt] | supporting evidence | 12 | |
| PubMed | 26 October 2026 | (legumes[ti] OR pulses[ti] OR dairy[ti] OR "leafy vegetables"[ti]) AND (cancer[ti]) AND meta-analysis[pt] | contradicting evidence | 33 | |
| Web (WebSearch) | 26 October 2026 | WCRF CUP Global colorectal cancer dairy products probably decrease risk strong evidence wholegrains | both directions | 10 | |
| Web (WebSearch + WebFetch, wcrf.org) | 26 October 2026 | WCRF cancer prevention recommendations site:wcrf.org -> https://www.wcrf.org/research-policy/our-cancer-prevention-recommendations/ | guidelines | 9 |
How deeply was this checked?
10 linked studies: 2 checked in full text (1 of them with a structured risk-of-bias assessment), 8 on the basis of the abstract, 0 bibliographically only. No formal assessment with two independent reviewers and no independent human expert review has taken place yet.
Last scientific review: 26 October 2026
History of the verdict
- 25 October 2026 · Phase 1 · Initial assessment: Unclear / insufficient evidence (low)
- 26 October 2026 · Phase 4 (systematic evidence review) · Re-examined with extended evidence; verdict unchanged: Unclear / insufficient evidence (low)
Unchanged. New guideline evidence sharpens which parts align (soft drinks, UPF, supplements) and which conflict (legumes, vegetables, dairy), but there is still no system-level evidence, so “Unclear / insufficient evidence” remains appropriate.
New sources: I-CAN-111 I-CAN-113 I-CAN-114 I-CAN-115 I-CAN-116
In plain language
The archive links many of the system's forbidden foods to cancer. Some of this agrees with research, such as limiting processed meat and sugary drinks. But the system also forbids foods - such as leafy vegetables and legumes - whose low intake is itself counted as a cancer risk. No study has tested whether the whole system prevents cancer. Single foods are checked in detail on other pages of this project.
Studies on this claim
Studies supporting the claim (2)
-
Sugary drinks and cancer risk in France
Chazelas E et al.. BMJ 2019 · PMID 31292122 · DOI 10.1136/bmj.l2408Cohort studyindependent cross-checkabstract checkedEach extra 100 mL of sugary drinks per day was linked to 18% higher cancer risk.
Does the study support the specific claim? No · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Sugary drinks and cancer.
- How was the study done?
Prospective cohort.
- How many people, animals or samples were studied?
101,257 adults.
- What was actually found?
Higher risk with sugary drinks.
- How large was the observed effect?
sHR 1.18 per 100 mL/d.
- What do the results mean in everyday life?
Limiting sugary drinks is sensible.
- What are the study's limitations?
Observational; short follow-up.
- What does it say about Elawady's specific claim?
Contradicts 'no need to fear sugar' for prevention.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Effects in patients already diagnosed.
-
Fibre and whole grains and health
Reynolds A et al.. Lancet 2019 · PMID 30638909 · DOI 10.1016/S0140-6736(18)31809-9Meta-analysisindependent cross-checkabstract checked★ key studyHigh fibre/whole grain intake linked to 15-30% lower risk of several diseases; GI/GL evidence weaker.
Does the study support the specific claim? Partly · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Carbohydrate quality
- How was the study done?
Systematic reviews with GRADE
- How many people, animals or samples were studied?
185 cohorts, 58 trials
- What was actually found?
Fibre and whole grain protective
- How large was the observed effect?
15-30% lower risk
- What do the results mean in everyday life?
Eat more fibre and whole grains
- What are the study's limitations?
Observational core
- What does it say about Elawady's specific claim?
Supports whole grains, not glue mechanism; GI/GL arguments weak
- Do the results apply to Germany and Europe?
High
- What can explicitly not be concluded from this study?
Harm from moderate refined grains
No study in this group is marked as key.
Studies contradicting or limiting the claim (4)
-
Smoking, alcohol and excess weight lead global avoidable cancer deaths
GBD 2019 Cancer Risk Factors Collaborators. Lancet 2022 · PMID 35988567 · DOI 10.1016/S0140-6736(22)01438-6Risk assessmentindependent cross-checkfull text, structured risk-of-bias assessment44% of cancer deaths worldwide in 2019 were attributable to known risk factors, smoking first; diet accounted for about 5-6% of cancer burden.
Diet one of several
Does the study support the specific claim? Partly · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Global attributable cancer burden.
- How was the study done?
GBD modelling.
- How many people, animals or samples were studied?
204 countries.
- What was actually found?
4.45 million cancer deaths (44.4%) attributable to modelled risks in 2019; tobacco 33.9% of male and 10.7% of female cancer DALYs; dietary risks 5.9% and 5.1%.
- How large was the observed effect?
4.45 million deaths.
- What do the results mean in everyday life?
Avoid tobacco and alcohol, keep healthy weight.
- What are the study's limitations?
Model-based estimates; sparse data in many countries; infections and UV not included.
- What does it say about Elawady's specific claim?
Diet is one factor among several.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
That the remaining 56% of cancer deaths have no external cause (infections and UV were not modelled); individual risk for a given person.
-
European Code Against Cancer 2026: diet advice
Leitzmann MF et al.. Mol Oncol 2026 · PMID 41542809 · DOI 10.1002/1878-0261.70201Guideline / position statementindependent cross-checkabstract checked★ key studyEurope's cancer code advises eating whole grains, vegetables, legumes and fruit and limiting processed meat, sugary drinks and ultra-processed food.
Recommends legumes and vegetables; dairy neutral/heterogeneous
Does the study support the specific claim? Partly · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Update EU cancer prevention advice.
- How was the study done?
Expert review.
- How many people, animals or samples were studied?
Not applicable.
- What was actually found?
Plant-rich diet, less processed meat and sugary drinks.
- How large was the observed effect?
Not applicable.
- What do the results mean in everyday life?
Clear, evidence-based prevention rules.
- What are the study's limitations?
Mostly observational evidence.
- What does it say about Elawady's specific claim?
Supports parts of the system and contradicts its legume/vegetable bans.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Effects of the Tayebat lists themselves.
-
Which foods affect bowel cancer risk
Vieira AR et al.. Ann Oncol 2017 · PMID 28407090 · DOI 10.1093/annonc/mdx171Meta-analysisindependent cross-checkabstract checked★ key studyMore red/processed meat and alcohol raised bowel cancer risk; whole grains and dairy lowered it; poultry and legumes showed no link.
Dairy inversely associated with CRC; poultry and legumes not associated
Does the study support the specific claim? Partly · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Foods and colorectal cancer.
- How was the study done?
Meta-analysis of 111 cohorts.
- How many people, animals or samples were studied?
Millions of adults.
- What was actually found?
Meat/alcohol up; whole grains/dairy down.
- How large was the observed effect?
Dairy RR ~0.87 per 400 g/d; meat RR 1.12 per 100 g/d.
- What do the results mean in everyday life?
Banning dairy or legumes is not supported for bowel cancer prevention.
- What are the study's limitations?
Observational.
- What does it say about Elawady's specific claim?
Partly supports, partly contradicts the forbidden-food list.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Effects for every cancer type.
-
Diet after bowel cancer and survival
Chen QY et al.. J Natl Cancer Inst 2025 · PMID 40317134 · DOI 10.1093/jnci/djaf098Meta-analysisindependent cross-checkabstract checked★ key studyBowel cancer survivors who ate more whole grains, milk and calcium lived longer; more refined grains and high-fat dairy was linked to shorter survival.
Milk, low-fat dairy and calcium associated with lower mortality after CRC
Does the study support the specific claim? Partly · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Diet after CRC diagnosis and death.
- How was the study done?
Meta-analysis of cohorts.
- How many people, animals or samples were studied?
CRC survivors.
- What was actually found?
Whole grains, milk, calcium protective; refined grains harmful.
- How large was the observed effect?
e.g. refined grains RR 1.55; milk RR 0.82.
- What do the results mean in everyday life?
What patients eat may matter.
- What are the study's limitations?
Observational.
- What does it say about Elawady's specific claim?
Does not support ignoring sugar or banning dairy.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Cause and effect.
No study in this group is marked as key.
Studies with mixed or unclear results (4)
-
Four in ten cancers in the USA are linked to avoidable risk factors, led by smoking
Islami F et al.. CA Cancer J Clin 2024 · PMID 38990124 · DOI 10.3322/caac.21858Risk assessmentindependent cross-checkabstract checked★ key studySmoking accounted for 19% of cancers and 29% of cancer deaths; excess weight and alcohol followed.
Low fruit/veg/fibre/calcium are risks; system restricts some of these
Does the study support the specific claim? Partly · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Estimate preventable cancers.
- How was the study done?
PAF analysis.
- How many people, animals or samples were studied?
US 2019.
- What was actually found?
40% of cases attributable.
- How large was the observed effect?
Smoking 19.3%/28.5%.
- What do the results mean in everyday life?
Not smoking, healthy weight, less alcohol and a diet with fibre, fruit and vegetables lower risk.
- What are the study's limitations?
Model assumptions.
- What does it say about Elawady's specific claim?
Diet matters but is not the main cause.
- Do the results apply to Germany and Europe?
Moderate.
- What can explicitly not be concluded from this study?
Individual cause.
-
Poor diet is linked to about one in five adult deaths worldwide
GBD 2017 Diet Collaborators. Lancet 2019 · PMID 30954305 · DOI 10.1016/S0140-6736(19)30041-8Risk assessmentindependent cross-checkfull text checked★ key study11 million deaths in 2017 were attributed to dietary risks, mainly too much salt and too few whole grains and fruits.
Main dietary risks: low whole grains, low fruit, high sodium
Does the study support the specific claim? Partly · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Quantify diet-attributable deaths.
- How was the study done?
GBD comparative risk assessment.
- How many people, animals or samples were studied?
195 countries.
- What was actually found?
11 million deaths (22%).
- How large was the observed effect?
Sodium 3 m, whole grains 3 m, fruit 2 m deaths.
- What do the results mean in everyday life?
Eat more whole grains and fruit, less salt.
- What are the study's limitations?
Observational inputs.
- What does it say about Elawady's specific claim?
Diet matters; the main dietary problems differ from the system's forbidden list.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
That food is the sole cause.
-
World Cancer Research Fund: 10 prevention recommendations
World Cancer Research Fund International. wcrf.org 2018 (page accessed 2026)Guideline / position statementindependent cross-checkabstract checked★ key studyEat wholegrains, vegetables, fruit and beans; limit fast food, red/processed meat, sugary drinks and alcohol; no supplements for prevention.
Supports avoiding supplements and sugary drinks; contradicts avoiding beans/vegetables
Does the study support the specific claim? Partly · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Cancer prevention advice.
- How was the study done?
Expert report.
- How many people, animals or samples were studied?
Not applicable.
- What was actually found?
Ten recommendations.
- How large was the observed effect?
Not applicable.
- What do the results mean in everyday life?
A balanced plant-rich diet lowers cancer risk.
- What are the study's limitations?
Summary page.
- What does it say about Elawady's specific claim?
Supports parts, contradicts other parts of the system.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Benefit of the Tayebat pattern itself.
-
Ultra-processed food and cancer: possible link, weak evidence
Bao J et al.. J Food Sci 2026 · PMID 42619402 · DOI 10.1111/1750-3841.71367Systematic reviewindependent cross-checkabstract checkedEating more ultra-processed food may be linked to some cancers, but the evidence is of low certainty.
UPF may raise cancer risk; low/very low certainty
Does the study support the specific claim? Partly · Methodological quality: moderate · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Summarise UPF-cancer evidence.
- How was the study done?
Umbrella review.
- How many people, animals or samples were studied?
8 reviews.
- What was actually found?
Possible higher risk.
- How large was the observed effect?
Not quantified in abstract.
- What do the results mean in everyday life?
Eating less UPF is reasonable, but proof is weak.
- What are the study's limitations?
Low-quality reviews.
- What does it say about Elawady's specific claim?
Partly supports avoiding UPF.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Causation.
No study in this group is marked as key.
Regional context
Germany / EU
Not region-specific; the attributable-risk analyses (I-CAN-02, I-CAN-03, I-SYS-01) apply in principle to Europe.
Egypt
Not region-specific; the global analyses (I-SYS-01, I-CAN-03) cover all countries including Egypt, but Egypt-specific dietary cancer data were not extracted.
- Food-safety governance and official controls
- Pesticide residues in fruit and vegetables on the EU/German market (incl. imports from Egypt)
- Pesticide residues in produce sold on the Egyptian domestic market
- Antibiotic (veterinary drug) residues in poultry meat and eggs
- Antimicrobial use in food animals and antibiotic growth promoters
- Hormones in poultry, meat, milk and farmed fish
- Salmonella in laying hens, eggs and broiler chicken
- Dioxins, PCBs and PFAS in eggs and other animal foods
- Aflatoxin M1 in milk and dairy products
- Aflatoxins in groundnuts (peanuts)
- Nitrate in leafy vegetables
- Microbiological safety of fresh produce, herbs and spices
- G6PD deficiency and favism (fava beans)
- Import controls and the meaning of RASFF notifications for Egyptian products
What applies in my country?
General scientific assessment
Unclear / insufficient evidence No study shows that the full Tayebat list prevents cancer; avoiding soft drinks, ultra-processed food and supplements fits current advice, but avoiding legumes, vegetables and dairy contradicts it.
The following areas of food safety are relevant to this statement:
- Pesticides and pesticide residues
- Veterinary medicines and antibiotics
- Hormonal growth promoters
- Contaminants (heavy metals, PFAS, PCBs, dioxins, nitrate)
- Mycotoxins (mould toxins)
- Pathogens (Salmonella, Campylobacter, etc.)
- Additives and processing
- Animal husbandry and feed
- Controls, imports, recalls, labelling
Eggs · Poultry · Dairy · Fruit and vegetables · Legumes and nuts
Choose a country to see the checked information for it.
Limits: legal rules describe what is allowed, not what every single food contains. Measurement data come from samples and are meaningful only together with their method details.
Country of residence or purchase Compare with another country
References
- Sugary drink consumption and risk of cancer: results from NutriNet-Santé prospective cohort.. Chazelas E et al.. BMJ 2019 · PMID 31292122 · DOI 10.1136/bmj.l2408
- Carbohydrate quality and human health: a series of systematic reviews and meta-analyses.. Reynolds A et al.. Lancet 2019 · PMID 30638909 · DOI 10.1016/S0140-6736(18)31809-9
- The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019.. GBD 2019 Cancer Risk Factors Collaborators. Lancet 2022 · PMID 35988567 · DOI 10.1016/S0140-6736(22)01438-6
- European Code Against Cancer, 5th edition - diet, excess body weight, physical activity, sedentary behavior, breastfeeding, and cancer.. Leitzmann MF et al.. Mol Oncol 2026 · PMID 41542809 · DOI 10.1002/1878-0261.70201
- Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR Continuous Update Project.. Vieira AR et al.. Ann Oncol 2017 · PMID 28407090 · DOI 10.1093/annonc/mdx171
- Postdiagnosis dietary and lifestyle factors and mortality outcomes among colorectal cancer patients: a meta-analysis.. Chen QY et al.. J Natl Cancer Inst 2025 · PMID 40317134 · DOI 10.1093/jnci/djaf098
- Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States, 2019.. Islami F et al.. CA Cancer J Clin 2024 · PMID 38990124 · DOI 10.3322/caac.21858
- Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.. GBD 2017 Diet Collaborators. Lancet 2019 · PMID 30954305 · DOI 10.1016/S0140-6736(19)30041-8
- Our Cancer Prevention Recommendations (WCRF/AICR). World Cancer Research Fund International. wcrf.org 2018 (page accessed 2026)
- Ultra-Processed Food Consumption and Cancer Risk: An Umbrella Review of Systematic Reviews and Meta-Analyses.. Bao J et al.. J Food Sci 2026 · PMID 42619402 · DOI 10.1111/1750-3841.71367