ReviewGM crops & food2026
Genetically modified foods and human health: a comprehensive review and cross-national time-trend analysis.
Review in GM crops & food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Awareness level of cancer risk factors and warning signs among adults in Mansoura District, Egypt.BMC public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
GMOs have remained at the center of scientific and societal debate since their regulatory authorization and subsequent market introduction in the 1990 s. This review synthesizes epidemiological evidence from the literature, including observational studies and prior systematic reviews, alongside international policy frameworks, to evaluate potential associations between GMO exposure and human health. Current evidence does not support consistent causal links between GMO consumption and cancer, reproductive toxicity, allergies, or other chronic diseases. We systematically searched PubMed, Web of Science, and international health databases, applied predefined inclusion and exclusion criteria, and synthesized national-level epidemiological data using time-trend and Joinpoint regression analyses. Across countries and disease categories, no consistent temporal alignment was observed between GMO authorization and changes in disease incidence, and pooled breakpoint analyses showed heterogeneous patterns with estimates frequently overlapping zero. Overall, the findings provide no consistent epidemiological support for associations between GMO consumption and major chronic diseases.
Indexed as
Identifiers
What OpenQuestion holds
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.