Evidence map›Paper›PMID 39021615›Full record

ArticleSurgery open science2024

Development and validation of a mouse model to investigate post surgical pain after laparotomy.

Juan Martinez, Thomas Maisey, Nicola Ingram, Nikil Kapur, Paul A Beales, David G Jayne

Abstract read
In one paragraph

Article in Surgery open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

6 authors.

Juan MartinezSchool of Chemistry, University of Leeds, Leeds, West Yorkshire LS2 9JT, UK.
Thomas MaiseyLeeds Institute of Medical Research, University of Leeds, Leeds, West Yorkshire LS9 7TF, UK.
Nicola IngramLeeds Institute of Medical Research, University of Leeds, Leeds, West Yorkshire LS9 7TF, UK.
Nikil KapurSchool of Mechanical Engineering, University of Leeds, Leeds, West Yorkshire LS2 9JT, UK.
Paul A BealesSchool of Chemistry, University of Leeds, Leeds, West Yorkshire LS2 9JT, UK.
David G JayneLeeds Institute of Medical Research, University of Leeds, Leeds, West Yorkshire LS9 7TF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative pain following abdominal surgery is a significant obstacle to patient recovery, often necessitating high analgesic doses associated with adverse effects like cognitive impairment and cardiorespiratory depression. Reliable animal models are crucial for understanding the pathophysiology of post surgical pain and developing more effective pain-relieving strategies. Methods: We developed a mouse model to replicate peritoneal trauma induced by abdominal surgery. 30 C57BL/6 mice underwent laparotomy, with half undergoing standardised peritoneal abrasion and the rest serving as controls. Mouse recovery was assessed using two validated scoring systems of surgical recovery: Post surgery Severity Assessment (PSSA) and Mouse Grimace Score (MGS). Blood samples were taken for cytokine analysis. Adhesions were evaluated on day 6, and peritoneal tissue was examined for healing markers. Results: After laparotomy, all mice exhibited expected pain profiles. Mice with peritoneal abrasion had significantly higher PSSA (7.2 ± 1.2 vs 4.68 ± 0.82, Discussion: A mouse model involving laparotomy and standardised peritoneal abrasion replicates the expected pathophysiological changes following abdominal surgery. It will be a useful model for better understanding the mechanisms of post surgical pain and developing improved pain-relief strategies. It also has utility for the study of intra-abdominal adhesion formation. Key message: To understand the intricate relationship between peritoneal trauma-induced pain, cytokine response, and post-operative adhesion formation in mouse models for advancing therapeutic interventions and enhancing post-operative recovery outcomes.

Indexed as

AdhesionCytokinesMouse modelPainPeritoneal traumaPost operative recovery

Identifiers

PMID39021615
PMCPMC11253691

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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.