Evidence map›Paper›PMID 41056845›Full record

ArticleThe Journal of surgical research2025

Extracellular Matrix Hydrogel Reduces Anastomotic Leaks in a Rodent Model of Rectal Anastomosis.

Vincent Antonelli, Charles Patterson, Catalina Pineda Molina, Scott A Johnson, Michael Hu, George S Hussey, David S Medich, Stephen F Badylak

Abstract read
In one paragraph

Article in The Journal of surgical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Vincent AntonelliDepartment of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Charles PattersonMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Catalina Pineda MolinaDepartment of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Scott A JohnsonDepartment of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Michael HuMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
George S HusseyMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
David S MedichDepartment of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Stephen F BadylakDepartment of Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: badylaks@upmc.edu.

Funding

Postdoctoral Research Training in Biotherapy of CancerT32CA113263 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Udai S Kammula · 2006 to 2026
$3.6M
NCI NIH HHS T32 CA113263NIDDK NIH HHS L70 DK141039
6 · The paper itself

Abstract

introductionAnastomotic leaks remain a significant source of morbidity following rectal resections. Despite advances in technique, the incidence of leaks remains high, often necessitating temporary fecal diversion which carries its own risks and requires additional surgery for restoration of intestinal continuity. Reducing leak rates could minimize the need for prophylactic diversion. Extracellular matrix (ECM)-based surgical devices have shown potential to support gastrointestinal healing. Urinary bladder matrix (UBM), a versatile, acellular ECM material that promotes constructive tissue remodeling, has not been extensively studied in colorectal anastomoses. A lack of reliable small animal models has limited progress in this field.

methodsA reproducible rat model of low rectal anastomosis was developed to evaluate ECM-based interventions. Female Sprague-Dawley rats underwent standardized distal colonic resection and sutured anastomosis below the peritoneal reflection. Rats were randomized to receive no adjunct, UBM extraluminal wraps, or UBM hydrogel applied directly to the anastomosis. Healing was assessed using a multimodal evaluation strategy.

resultsControl animals demonstrated a 46% anastomotic leak rate, while UBM hydrogel treatment significantly reduced leak rates to 8%. Extraluminal wraps did not confer a protective effect. Rats treated with hydrogel also exhibited fewer perianastomotic adhesions. Histological analysis showed improved composite healing scores in the hydrogel group.

conclusionsThis reliable small animal model provides a valuable platform for testing surgical adjuncts. UBM hydrogel shows promise in reducing rectal anastomotic leak rates through both mechanical support and biochemical modulation of healing. This model enables further investigation into anastomotic healing mechanisms and potential therapeutic strategies.

Indexed as

Anastomotic LeakExtracellular MatrixHydrogelsRectumAnastomosis, SurgicalAnimalsDisease Models, AnimalFemaleRatsRats, Sprague-DawleyUrinary BladderWound HealingHydrogelsAnastomosis leaksAnimal modelColorectal diseaseECM hydrogelsExtracellular matrix (ECM)Rectal anastomosisUrinary bladder matrix (UBM)

Identifiers

PMID41056845
PMCPMC12555793

What OpenQuestion holds

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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.