ReviewWorld journal of gastrointestinal pathophysiology2026
Intersections of gastrointestinal dysbiosis of the gut microbiome and aging.
Review in World journal of gastrointestinal pathophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Geriatric syndromes such as frailty and sarcopenia are multidomain indicators of functional status in relation to the chronic disease burden of an aging adult. The human microbiota has gained increasing spotlight in regulating key aspects inherent of aging. In this review, we survey the current literature exploring the pathophysiological intersections of the gut microbiome and the aging process and associated geriatric syndromes that ultimately influence health span and lifespan. We discuss how intrinsic and extrinsic factors can influence age-related gut dysbiosis and propose areas of future directions for further research for identifying therapeutic targets to promote healthy aging.
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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 Socratic graph.