Evidence map›Paper›PMID 34664123›Full record

ArticleNano-micro letters2021

Nanoengineered Shear-Thinning Hydrogel Barrier for Preventing Postoperative Abdominal Adhesions.

Guillermo U Ruiz-Esparza, Xichi Wang, Xingcai Zhang, Sofia Jimenez-Vazquez, Liliana Diaz-Gomez, Anne-Marie Lavoie, Samson Afewerki, Andres A Fuentes-Baldemar, Roberto Parra-Saldivar, Nan Jiang and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Nano-micro letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.6field-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

21 citing papers in PubMed, 61 citations in OpenAlex.

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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

18 authors at 9 institutions in 4 countries.

Guillermo U Ruiz-Esparza *Biomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Xichi Wang *Biomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Xingcai ZhangSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
Sofia Jimenez-VazquezBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Liliana Diaz-GomezBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Anne-Marie LavoieBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Samson AfewerkiBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Andres A Fuentes-BaldemarBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Roberto Parra-SaldivarBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Nan JiangBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Nasim AnnabiDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Bahram SalehDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Ali K YetisenDepartment of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK.
Amir SheikhiBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Thomas H JozefiakBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Su Ryon ShinBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA.
Nianguo DongDepartment of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Ali KhademhosseiniBiomaterials Innovation Research Center, Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA. khademh@terasaki.org.
Harvard University · USBrigham and Women's Hospital · USInnovation Research Center · USUniversidad Autónoma de Guadalajara · MXImperial College London · GBNortheastern University · USSecretaría de Salud de Jalisco · MXUnion Hospital · CNUniversity of California, Los Angeles · US

Funding

Hemorrhage control in the irreversible anticoagulated patientR01HL137193 · NHLBI · MAYO CLINIC ARIZONA · PI OKLU, RAHMI · 2017 to 2021
$3.0M
Engineering highly elastic surgical sealants with hemostatic propertiesR01HL140618 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2018 to 2021
$2.8M
Engineering a naturally derived and highly adhesive surgical sealantR01EB023052 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2017 to 2022
$2.4M
Multifunctional dressing for treatment of diabetic woundsR01GM126831 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI DOKMECI, MEHMET REMZI, TAMAYOL, ALI · 2018 to 2021
$1.3M
NHLBI NIH HHS R01 HL137193NHLBI NIH HHS R01 HL140618NIBIB NIH HHS R01 EB023052NIGMS NIH HHS R01 GM126831
6 · The paper itself

Abstract

More than 90% of surgical patients develop postoperative adhesions, and the incidence of hospital re-admissions can be as high as 20%. Current adhesion barriers present limited efficacy due to difficulties in application and incompatibility with minimally invasive interventions. To solve this clinical limitation, we developed an injectable and sprayable shear-thinning hydrogel barrier (STHB) composed of silicate nanoplatelets and poly(ethylene oxide). We optimized this technology to recover mechanical integrity after stress, enabling its delivery though injectable and sprayable methods. We also demonstrated limited cell adhesion and cytotoxicity to STHB compositions in vitro. The STHB was then tested in a rodent model of peritoneal injury to determine its efficacy preventing the formation of postoperative adhesions. After two weeks, the peritoneal adhesion index was used as a scoring method to determine the formation of postoperative adhesions, and STHB formulations presented superior efficacy compared to a commercially available adhesion barrier. Histological and immunohistochemical examination showed reduced adhesion formation and minimal immune infiltration in STHB formulations. Our technology demonstrated increased efficacy, ease of use in complex anatomies, and compatibility with different delivery methods, providing a robust universal platform to prevent postoperative adhesions in a wide range of surgical interventions.

Indexed as

NanomedicineNanotechnologyPostoperative adhesionsShear-thinning hydrogelSilicate nanoplatelets

Identifiers

PMID34664123
PMCPMC8523737
OpenAlexW3205749466

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.