ReviewBioengineering (Basel, Switzerland)2020
Novel Bionics Assessment of Anorectal Mechanosensory Physiology.
Review in Bioengineering (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Bionic concepts for assessment of defecatory function and dysfunction.Techniques in coloproctology · 2025Review
- Consistency of Feces Affects Defecatory Function.Journal of neurogastroenterology and motility · 2024Article
- Influence of the examination position and distension medium on the rectal sensory test in patients with functional constipation.BMC gastroenterology · 2024Article
- Biomechanics of Hollow Organs: Experimental Testing and Computational Modeling.Bioengineering (Basel, Switzerland) · 2023Article
- Biomechanics Assist Measurement, Modeling, Engineering Applications, and Clinical Decision Making in Medicine.Bioengineering (Basel, Switzerland) · 2022Article
- Anorectal volume-pressure relations, contraction work, and flow during defecation.Biomechanics and modeling in mechanobiology · 2022Article
- Fecobionics characterization of female patients with fecal incontinence.Scientific reports · 2022Article
- Feasibility study of defecation studied with a wireless Fecobionics probe in normal subjects.Physiological reports · 2022Article
- Fecobionics Evaluation of Biofeedback Therapy in Patients With Fecal Incontinence.Clinical and translational gastroenterology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Biomechatronics (bionics) is an applied science that creates interdisciplinary bonds between biology and engineering. The lower gastrointestinal (GI) tract is difficult to study but has gained interest in recent decades from a bionics point of view. Ingestible capsules that record physiological variables during GI transit have been developed and used for detailed analysis of colon transit and motility. Recently, a simulated stool named Fecobionics was developed. It has the consistency and shape of normal stool. Fecobionics records a variety of parameters including pressures, bending, and shape changes. It has been used to study defecation patterns in large animals and humans, including patients with symptoms of obstructed defecation and fecal incontinence. Recently, it was applied in a canine colon model where it revealed patterns consistent with shallow waves originating from slow waves generated by the interstitial Cells of Cajal. Novel analysis such as the "rear-front" pressure diagram and quantification of defecation indices has been developed for Fecobionics. GI research has traditionally been based on experimental approaches. Mathematical modeling is a unique way to deal with the complexity. This paper describes the Fecobionics technology, related mechano-physiological modeling analyses, and outlines perspectives for future applications.
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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.