ReviewExperimental physiology2026
Exploring the nexus: Clinical and physiological correlation between cardiovascular disease and colorectal cancer.
Review in Experimental physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Flexible robotic platforms for surgical applications in microgravity environments: a comprehensive systematic review of minimally invasive mechatronic systems and the impact of artificial intelligence on behalf of the Center for Space Systems (C-SET) & TROGSS-The Robotic Global Surgical Society.Journal of robotic surgery · 2025Pooled it
- The future of surgery in space exploration.Journal of robotic surgery · 2026Review
- Exploring the nexus: Clinical and physiological correlation between cardiovascular disease and colorectal cancer.Experimental physiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Colorectal cancer (CRC) and cardiovascular disease (CVD) are leading causes of morbidity and mortality worldwide, traditionally studied as distinct pathologies. However, emerging evidence suggests a significant physiological and molecular overlap between these conditions, indicating that they might share common pathophysiological pathways. The aim of this paper is to explore the interconnected mechanisms linking CRC and CVD to identify shared risk factors, underlying molecular processes and potential avenues for integrated prevention and treatment strategies. The review highlights chronic inflammation, oxidative stress, metabolic dysregulation and gut microbiota dysbiosis as central factors contributing to CRC and CVD. Key inflammatory mediators, such as interleukin-6, C-reactive protein and tumour necrosis factor-α, are discussed in the context of their dual role in tumour progression and atherogenesis. Additionally, metabolic disorders, including obesity, insulin resistance and hyperlipidaemia, are shown to elevate the risk of both diseases synergistically, with shared pathways involving insulin-like growth factors and endothelial dysfunction. The manuscript also addresses the role of lifestyle and environmental factors, such as diet, physical activity and carcinogen exposure, in modulating the risk for CRC and CVD. Furthermore, it considers the implications of commonly used therapies, such as aspirin and statins, which exhibit cross-benefits in both conditions. In conclusion, understanding the molecular and physiological crosstalk between CRC and CVD provides valuable insight into their co-occurrence and offers opportunities for integrated screening, prevention and management approaches. This unified perspective supports the development of multidisciplinary strategies that could improve patient outcomes and reduce the global burden of these major chronic diseases.
Indexed as
Identifiers
What Socratic 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 Socratic graph.