Evidence map›Paper›PMID 39543146›Full record

ArticleScientific data2024

A transcriptome data set for comparing skin, muscle and dorsal root ganglion between acute and chronic postsurgical pain rats.

Xiao-Yan Meng, Lan Bu, Ling Shen, Kun-Ming Tao

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Xiao-Yan Meng *Department of Critical Care Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
Lan Bu *Department of Anesthesiology and Pain Center, Shanghai Changhai Hospital, Navel Medical University, Shanghai, China.
Ling Shen *Department of Anesthesiology, Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
Kun-Ming TaoDepartment of Anesthesiology, Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China. kunmingtao@yeah.net.ORCID 0000-0002-1683-3424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic postsurgical pain (CPSP), with a high prevalence and rising epidemic of opioids crisis, is typically derived from acute postoperative pain. Our knowledge on the forming of chronic pain mostly derives from mechanistic studies of pain processing in the brain and spinal cord circuits, yet most pharmacological interventions targeting CNS came to be unhelpful in preventing CPSP. Revealing the peripheral mechanisms behind the transition from acute to chronic pain after surgery could shine a light on the novel analgesic regimens. Based on two recognized animal models in simulation of acute and chronic postsurgical pain, we provide a next-generation RNA sequencing (RNA-seq) data set to evaluate the time-course transcriptomic variation in the tissue of skin, muscle and dorsal root ganglion (DRG) in these two pain models. The aim of this study is to identify the potential origin and mechanism of the persistent postoperative pain, and further to explore effective and safer analgesic regimens for surgical patients.

Indexed as

Chronic PainGanglia, SpinalPostoperative PainSkinTranscriptomeAcute PainAnimalsDisease Models, AnimalMusclesRats

Identifiers

PMID39543146
PMCPMC11564764

What OpenQuestion holds

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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.