Evidence map›Paper›PMID 33255522›Full record

ReviewBioengineering (Basel, Switzerland)2020

The Macro- and Micro-Mechanics of the Colon and Rectum II: Theoretical and Computational Methods.

Yunmei Zhao, Saeed Siri, Bin Feng, David M Pierce

Abstract readReview
In one paragraph

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yunmei ZhaoDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0002-4628-4999
Saeed SiriDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0002-4185-0680
Bin FengDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0001-9277-211X
David M PierceDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0002-9713-1204

Funding

The Role of Lumbar Splanchnic Innervations in Visceral Nociception and PainR01DK120824 · NIDDK · UNIVERSITY OF CONNECTICUT STORRS · PI FENG, BIN · 2019 to 2023
$2.0M
Foundation for the National Institutes of Health 1R01DK120824-01National Science Foundation, United States 1727185NIDDK NIH HHS R01 DK120824
6 · The paper itself

Abstract

Abnormal colorectal biomechanics and mechanotransduction associate with an array of gastrointestinal diseases, including inflammatory bowel disease, irritable bowel syndrome, diverticula disease, anorectal disorders, ileus, and chronic constipation. Visceral pain, principally evoked from mechanical distension, has a unique biomechanical component that plays a critical role in mechanotransduction, the process of encoding mechanical stimuli to the colorectum by sensory afferents. To fully understand the underlying mechanisms of visceral mechanical neural encoding demands focused attention on the macro- and micro-mechanics of colon tissue. Motivated by biomechanical experiments on the colon and rectum, increasing efforts focus on developing constitutive frameworks to interpret and predict the anisotropic and nonlinear biomechanical behaviors of the multilayered colorectum. We will review the current literature on computational modeling of the colon and rectum as well as the mechanical neural encoding by stretch sensitive afferent endings, and then highlight our recent advances in these areas. Current models provide insight into organ- and tissue-level biomechanics as well as the stretch-sensitive afferent endings of colorectal tissues yet an important challenge in modeling theory remains. The research community has not connected the biomechanical models to those of mechanosensitive nerve endings to create a cohesive multiscale framework for predicting mechanotransduction from organ-level biomechanics.

Indexed as

afferent endingsbiomechanicscolorectumconstitutive modelingmechanotransductiontheoretical and computational models

Identifiers

PMID33255522
PMCPMC7712199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.