Evidence map›Paper›PMID 24374547›Full record

Trial reportAnnals of surgery2015

Remodeling characteristics and collagen distribution in biological scaffold materials explanted from human subjects after abdominal soft tissue reconstruction: an analysis of scaffold remodeling characteristics by patient risk factors and surgical site classifications.

Jaime A Cavallo, Andres A Roma, Mateusz S Jasielec, Jenny Ousley, Jennifer Creamer, Matthew D Pichert, Sara Baalman, Margaret M Frisella, Brent D Matthews, Corey R Deeken

Abstract readClinical Trial
In one paragraph

Trial report in Annals of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Long-term outcome of biologic graft: a case report.Journal of medical case reports · 2014
    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

10 authors at 4 institutions in 1 country.

Jaime A Cavallo*Department of Surgery, Section of Minimally Invasive Surgery, Washington University School of Medicine, St Louis, MO †Department of Anatomic Pathology, Cleveland Clinic, Cleveland, OH ‡Department of Biostatistics, Washington University School of Medicine, St Louis, MO §Meharry Medical College, Nashville, TN; and ¶William Beaumont Army Medical Center, El Paso, TX.
Andres A Roma
Mateusz S Jasielec
Jenny Ousley
Jennifer Creamer
Matthew D Pichert
Sara Baalman
Margaret M Frisella
Brent D Matthews
Corey R Deeken
Washington University in St. Louis · USCleveland Clinic · USMeharry Medical College · USWilliam Beaumont Army Medical Center · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
WASHINGTON UNIVERSITY CER MENTORED CAREER DEVELOPMENT AWARD KM1KM1CA156708 · NCI · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$2.5M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1TR000448NCI NIH HHS KM1 CA156708NCI NIH HHS KM1CA156708NCI NIH HHS P30 CA091842NCI NIH HHS P30CA091842NIMHD NIH HHS L32 MD007472
6 · The paper itself

Abstract

objectiveThe study purpose was to evaluate the associations between patient characteristics or surgical site classifications and the histologic remodeling scores of biologic meshes biopsied from abdominal soft tissue repair sites in the first attempt to generate a multivariable risk-prediction model of nonconstructive remodeling.

backgroundHost characteristics and surgical site assessments may predict remodeling degree for biologic meshes used to reinforce abdominal tissue repair sites.

methodsBiologic meshes were biopsied from the abdominal tissue repair sites of n = 40 patients during an abdominal reexploration, stained with hematoxylin and eosin, and evaluated according to a semi-quantitative scoring system for remodeling characteristics (cell types, cell infiltration, extracellular matrix deposition, scaffold degradation, fibrous encapsulation, and neovascularization) and a mean composite score. Biopsies were stained with Sirius Red and Fast Green and analyzed to determine the collagen I:III ratio. On the basis of univariate analyses between subject clinical characteristics or surgical site classification and the histologic remodeling scores, cohort variables were selected for multivariable regression models using P ≤ 0.200.

resultsThe model selection process for cell infiltration score yielded 2 variables: age at mesh implantation and mesh classification (C statistic = 0.989). For the mean composite score, the model selection process yielded 2 variables: age at mesh implantation and mesh classification (r = 0.449).

conclusionsThese preliminary results constitute the first steps in generating a risk-prediction model that predicts the patients and clinical circumstances most likely to experience nonconstructive remodeling of abdominal tissue repair sites with biologic mesh reinforcement.

Indexed as

Acellular DermisTissue ScaffoldsAbdominal WallAdultAgedBiocompatible MaterialsBiomarkersBiopsyCollagen Type ICollagen Type IIIDecision Support TechniquesFemaleHerniorrhaphyHumansLogistic ModelsMaleBiocompatible MaterialsBiomarkersCollagen Type ICollagen Type III

Identifiers

PMID24374547
PMCPMC4072753
OpenAlexW1966088538

What OpenQuestion holds

Textmetadata
LicenceTDM
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.