Evidence map›Paper›PMID 35207204›Full record

ArticleJournal of clinical medicine2022

Chemically Modified Hyaluronic Acid for Prevention of Post-Surgical Adhesions: New Aspects of Gel Barriers Physical Profiles.

Luz Angela Torres-de la Roche, Véronique Bérard, Maya Sophie de Wilde, Rajesh Devassy, Markus Wallwiener, Rudy Leon De Wilde

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Luz Angela Torres-de la RocheUniversity Hospital for Gynecology, Pius Hospital, University Medicine Oldenburg, 26121 Oldenburg, Germany.ORCID 0000-0003-1237-4192
Véronique BérardLaboratoire Interdisciplinaire Carnot de Bourgogne, UFR des Sciences de Santé, 21000 Dijon, France.
Maya Sophie de WildeUniversity Hospital for Gynecology, Pius Hospital, University Medicine Oldenburg, 26121 Oldenburg, Germany.
Rajesh DevassyUniversity Hospital for Gynecology, Pius Hospital, University Medicine Oldenburg, 26121 Oldenburg, Germany.ORCID 0000-0001-7795-7749
Markus WallwienerUniversity Hospital for Obstetrics and Gynecology, University Medicine Heidelberg, 69120 Heidelberg, Germany.
Rudy Leon De WildeUniversity Hospital for Gynecology, Pius Hospital, University Medicine Oldenburg, 26121 Oldenburg, Germany.ORCID 0000-0001-5759-9745

Funding

Nordic Pharma, Paris, France CB_RLDW_06112020
6 · The paper itself

Abstract

This study was conducted to provide information regarding the chemistry-including structure, synthesis, formulation, and mechanical properties-of two types of chemically modified anti-adhesion gels made of hyaluronic acid. Gel A (Hyalobarrier

methodsComparative analyses were conducted under laboratory-controlled conditions, including measuring the shear viscosity, storage modulus G', peel strength, and extrusion forces.

resultsAll polymers exhibited viscoelastic behavior. Polymer A showed a shear viscosity approximately three times larger than both polymers B and C (114 Pa.s

conclusionsModified anti-adhesion gels made of hyaluronic acid differed in mechanical properties and concentration. Further clinical studies are needed to confirm whether these differences make one polymer easier to apply during surgery and more likely to stay in place longer after in vivo application, and to determine which is potentially superior in terms of preventing adhesions.

Indexed as

adhesion preventionauto-crosslinked polymercrosslinked polymerelasticityextrusion forcehyaluronic acidpeel strengthviscosity

Identifiers

PMID35207204
PMCPMC8874822

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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.