Evidence map›Paper›PMID 39333108›Full record

ArticleNature communications2024

Sprayable anti-adhesive hydrogel for peritoneal macrophage scavenging in post-surgical applications.

Wonmoon Song, Changyub Lee, Haein Jeong, Seoyeon Kim, Nathaniel S Hwang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Wonmoon Song *Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea.
Changyub Lee *School of Chemical and Biological Engineering, Institute for Chemical Processes, Seoul National University, Seoul, Republic of Korea.ORCID 0009-0002-0238-9876
Haein JeongInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea.
Seoyeon KimSchool of Chemical and Biological Engineering, Institute for Chemical Processes, Seoul National University, Seoul, Republic of Korea.
Nathaniel S HwangInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea. nshwang@snu.ac.kr.ORCID 0000-0003-3735-7727

Funding

Ministry of Science, ICT and Future Planning (MSIP) 21A0301L1-21Ministry of Science, ICT and Future Planning (MSIP) NRF- 2021R1A2C2008821
6 · The paper itself

Abstract

Post-surgical adhesions frequently occur after intra-abdominal surgery, leading to severe complications. Despite the development of various types of adhesion barriers to address post-surgical adhesions, several limitations persist, including off-target localization, handling difficulties, and potential immunogenicity. Here, we report a spray-type adhesion barrier for broad, fast application, forming two sequential networks. The first network is formed by a polyelectrolyte complex of sulfated hyaluronic acid and chitosan, while the second network is established through pluronic® F127 thermogelation. This sprayable barrier served as both a physical protector for the damaged peritoneum and an immunomodulator for peritoneal macrophages, as evidenced its effectiveness in a rat ischemic button model. Taken together, this efficient adhesion barrier presents a promising solution for post-surgical adhesions.

Indexed as

ChitosanHyaluronic AcidHydrogelsMacrophages, PeritonealPeritoneumAnimalsDisease Models, AnimalMaleMicePoloxamerPostoperative ComplicationsRatsRats, Sprague-DawleyTissue AdhesionsChitosanHyaluronic AcidHydrogelsPoloxamer

Identifiers

PMID39333108
PMCPMC11436759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.