Evidence map›Paper›PMID 36437258›Full record

ArticleNature communications2022

Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment.

Alexandre H C Anthis, Maria Paulene Abundo, Anna L Neuer, Elena Tsolaki, Jachym Rosendorf, Thomas Rduch, Fabian H L Starsich, Bernhard Weisse, Vaclav Liska, Andrea A Schlegel and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 62 citations in OpenAlex.

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  14. Acoustic percolation switches enable targeted drug delivery controlled by diagnostic ultrasound.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

12 authors at 6 institutions in 4 countries.

Alexandre H C AnthisNanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland.
Maria Paulene AbundoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Anna L NeuerNanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland.ORCID 0000-0002-5762-4709
Elena TsolakiNanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland.
Jachym RosendorfDepartment of Surgery, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic.ORCID 0000-0003-2125-0685
Thomas RduchLaboratory for Particles Biology Interactions, Department Materials Meet Life, Swiss Federal Laboratories for Materials Science and Technology (Empa), Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland.ORCID 0000-0002-7486-5002
Fabian H L StarsichNanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland.
Bernhard WeisseLaboratory for Mechanical Systems Engineering, Department of Engineering Sciences, Empa - Swiss Laboratories for Materials Science and Technology, Ueberlandstrasse 129, CH-8600, Dübendorf, Switzerland.ORCID 0000-0002-5267-5777
Vaclav LiskaDepartment of Surgery, Faculty of Medicine in Pilsen, Charles University, Prague, Czech Republic.
Andrea A SchlegelDepartment of Visceral Surgery and Transplantation, University Hospital Zurich, CH-8091, Zurich, Switzerland.
Mikhail G ShapiroDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID 0000-0002-0291-4215
Inge K HerrmannNanoparticle Systems Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, Sonneggstrasse 3, CH-8092, Zurich, Switzerland. ingeh@ethz.ch.ORCID 0000-0002-3018-6796
ETH Zurich · CHCalifornia Institute of Technology · USCharles University · CZFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITKantonsspital St. Gallen · CHSwiss Federal Laboratories for Materials Science and Technology · CH

Funding

Biogenic Gas Nanostructures As Molecular Imaging Reporters For UltrasoundR01EB018975 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Mikhail Shapiro · 2014 to 2026
$5.9M
NIBIB NIH HHS R01 EB018975
6 · The paper itself

Abstract

Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only offering late-stage detection of fully developed leaks. Here, we present a holistic solution in the form of a modular, intelligent suture support sealant patch capable of containing and detecting leaks early. The pH and/or enzyme-responsive triggerable sensing elements can be read out by point-of-need ultrasound imaging. We demonstrate reliable detection of the breaching of sutures, in as little as 3 hours in intestinal leak scenarios and 15 minutes in gastric leak conditions. This technology paves the way for next-generation suture support materials that seal and offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables.

Indexed as

Anastomotic LeakHydrogelsEarly DiagnosisHumansSensitivity and SpecificityHydrogels

Identifiers

PMID36437258
PMCPMC9701692
OpenAlexW4310273900

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.