Evidence map›Paper›PMID 37946779›Full record

ArticleWorld journal of clinical cases2023

Clinical efficacy and safety of Guipi decoction combined with escitalopram oxalate tablets in patients with depression.

Jia Yu, Feng-Quan Xu

Abstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The efficacy and safety of complementary and alternative medicine for depression: an umbrella review.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2024
    Pooled it
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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

2 authors.

Jia YuPsychiatry Department, Beijing Changping Hospital of Traditional and Western Medicine, Beijing 102206, China.
Feng-Quan XuDepartment of Psychosomatic Medicine, Guang'anmen Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing 100053, China. qazujm1258@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a widespread mental health condition that requires effective treatment. In the treatment of depression, traditional Chinese medicine (TCM) offers obvious advantages, fewer adverse reactions, and a lower recurrence rate.

aimTo evaluate the clinical benefits of Guipi decoction combined with escitalopram oxalate tablets for individuals with depression.

methodsIn total, 80 patients diagnosed as having depression were enrolled in the study and divided into either an experimental group or a control group. All of the patients were orally administered escitalopram oxalate tablets. Additionally, the experimental group received Jiajian Guipi decoction and reduced Governor vessel fumigation over 4 wk. TCM syndrome scores, Hamilton depression rating scale (HAM-D) scores, self-rating depression scale (SDS) scores, and Pittsburgh sleep quality index scores were measured for the two groups and compared before and after the treatment. The two groups were monitored for any adverse reactions.

resultsAfter 4 wk of treatment, both groups exhibited a significant reduction in TCM syndrome scores compared with their pre-treatment scores (

conclusionThe combination of Guipi decoction and escitalopram oxalate tablets was found to be an effective and safe treatment for depression. This combination could reduce TCM syndrome scores, improve depressive symptoms, and enhance sleep quality.

Indexed as

Depressive disorderEscitalopram oxalate tabletsJiajian Guipi decoctionSleep qualityTraditional Chinese medicine syndromes

Identifiers

PMID37946779
PMCPMC10631412

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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.