Evidence map›Paper›PMID 38775058›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Early Detection and Monitoring of Anastomotic Leaks via Naked Eye-Readable, Non-Electronic Macromolecular Network Sensors.

Alexander Jessernig, Alexandre H C Anthis, Emilie Vonna, Jachym Rosendorf, Vaclav Liska, Jeannette Widmer, Andrea A Schlegel, Inge K Herrmann

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

8 authors.

Alexander JessernigNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Alexandre H C AnthisNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Emilie VonnaNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Jachym RosendorfDepartment of Surgery, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 923/80, Pilsen, 32300, Czech Republic.
Vaclav LiskaDepartment of Surgery, Faculty of Medicine in Pilsen, Charles University, Alej Svobody 923/80, Pilsen, 32300, Czech Republic.
Jeannette WidmerDepartment of Surgery and Transplantation, Swiss HPB Centre, University Hospital Zurich, Zürich, 8091, Switzerland.
Andrea A SchlegelTransplantation Center, Digestive Disease and Surgery Institute and Department of Immunity and Inflammation, Lerner Research Institute, Cleveland Clinic, 9620 Carnegie Ave, Cleveland, OH, 44106, USA.
Inge K HerrmannNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.ORCID 0000-0002-3018-6796

Funding

ETH Domain Specific Focus Area Personalized Health and Related Technologies (PHRT) program 2023/982Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 181290
6 · The paper itself

Abstract

Anastomotic leakage (AL) is the leaking of non-sterile gastrointestinal contents into a patient's abdominal cavity. AL is one of the most dreaded complications following gastrointestinal surgery, with mortality rates reaching up to 27%. The current diagnostic methods for anastomotic leaks are limited in sensitivity and specificity. Since the timing of detection directly impacts patient outcomes, developing new, fast, and simple methods for early leak detection is crucial. Here, a naked eye-readable, electronic-free macromolecular network drain fluid sensor is introduced for continuous monitoring and early detection of AL at the patient's bedside. The sensor array comprises three different macromolecular network sensing elements, each tailored for selectivity toward the three major digestive enzymes found in the drainage fluid during a developing AL. Upon digestion of the macromolecular network structure by the respective digestive enzymes, the sensor produces an optical shift discernible to the naked eye. The diagnostic efficacy and clinical applicability of these sensors are demonstrated using clinical samples from 32 patients, yielding a Receiver Operating Characteristic Area Under the Curve (ROC AUC) of 1.0. This work has the potential to significantly contribute to improved patient outcomes through continuous monitoring and early, low-cost, and reliable AL detection.

Indexed as

Anastomotic LeakEarly DiagnosisBiosensing TechniquesHumansdevicedrain fluidpostoperative complicationssensingwearables

Identifiers

PMID38775058
PMCPMC11304232

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.