Evidence map›Paper›PMID 39974477›Full record

Trial reportWorld journal of psychiatry2025

Effect of negative mood, serum inflammatory factors, miR-155, and brain-derived neurotrophic factor.

Qi Zhang, Yue Zhao, Guang-Yu Cheng

Abstract readClinical Trial
In one paragraph

Trial report in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Qi ZhangPrevention and Treatment Center, First Affiliated Hospital Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China.
Yue ZhaoDepartment of Medical, First Affiliated Hospital Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China.
Guang-Yu ChengTraditional Chinese Medicine Translational Medicine Research Center, First Affiliated Hospital Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China. chengguangyu@hljucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal postoperative patients are susceptible to postoperative depression resulting from pain and stress, which can hinder their rehabilitation. Acupuncture has shown potential to relieve this condition.

aimTo analyze the mechanism by which acupuncture relieves postoperative depression in patients post-abdominal surgery.

methodsAbdominal postoperative patients with depression between January 2015 and December 2023 at the First Affiliated Hospital of Heilongjiang University of Chinese Medicine were enrolled. Patients were divided into two groups using the random throwing method: Observation (250 cases, fluoxetine hydrochloride + acupuncture treatment) and control (250 cases, fluoxetine hydrochloride treatment). Changes in negative emotions Hamilton Depression Scale 24, serum inflammatory factors [tumor necrosis factor α, interleukin (IL)-1β, IL-6], miR-155 expression levels, and BDNF levels were assessed.

resultsSignificant improvements were observed in the observation group compared to the control group in all assessed parameters after six weeks (

conclusionAcupuncture complies with the principle of traditional Chinese medicine syndrome differentiation and ensures the pertinence and effectiveness of treatment. In addition, it not only actively improves depressive symptoms but also effectively regulates the serum level of inflammatory factors.

Indexed as

Abdominal surgeryDepressionNegative moodSerum inflammatory factorSyndrome differentiation acupunctureTiny RNA-155

Identifiers

PMID39974477
PMCPMC11758059

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.