Evidence map›Paper›PMID 30674300›Full record

SynthesisBMC complementary and alternative medicine2019

Twelve Chinese herbal preparations for the treatment of depression or depressive symptoms in cancer patients: a systematic review and meta-analysis of randomized controlled trials.

Menglin Li, Zijie Chen, Zhenzhu Liu, Ning Zhang, Jintao Liu, Huiru Wang, Weiguang Wang, Yan Liang, Jingwen Chen, Zhe Liu and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC complementary and alternative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. The effect of traditional Chinese medicine on psychological conditions among elderly patients with cancer: a scoping review.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Antidepressant Potential of Quercetin and itsFrontiers in pharmacology · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. 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

12 authors at 3 institutions in 1 country.

Menglin LiSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zijie ChenSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zhenzhu LiuSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Ning ZhangSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Jintao LiuSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Huiru WangCollege of Basic Medicine, Hubei University of Chinese Medicine, Hubei, 430065, China.
Weiguang WangCollege of Basic Medicine, Hubei University of Chinese Medicine, Hubei, 430065, China.
Yan LiangSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Jingwen ChenSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zhe LiuCollege of Basic Medicine, Hubei University of Chinese Medicine, Hubei, 430065, China.
Yongle LiCollege of Traditional Chinese Medicine, Inner Mongolia Medical University, Hohhot, 010110, China.
Shuangqing ZhaiSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China. zsq2098@163.com.ORCID http://orcid.org/0000-0002-7226-3577
Beijing University of Chinese Medicine · CNHubei University of Chinese Medicine · CNInner Mongolia Medical University · CN

Funding

National Programme on Key Basic Research Project 2013CB532001
6 · The paper itself

Abstract

backgroundPatients with cancer are vulnerable to depression or other depressive conditions. The aim of this paper was to evaluate the efficacy and safety of Chinese herbal medicine (CHM) for the treatment of depression or depressive symptoms in cancer patients.

methodsCENTRAL, MEDLINE, EMBASE, PsycINFO, CNKI, VIP, SinoMed, and online clinical trial registry websites were searched for relevant RCTs until May 2017. The methodological quality of each included study was assessed with the "risk of bias" tool. Review Manager 5.3.5 was used to analyze the data.

resultsWe identified 18 RCTs that included data from 1441 participants. Twelve different types of Chinese herbal preparations were investigated by these studies, and they showed a better therapeutic effect in most comparisons when measured in terms of depression rating scale scores, with SMDs (95% CI) of - 2.30 (- 3.54, - 1.05) (CHM versus no treatment), - 0.61 (- 1.03, - 0.18) (CHM versus antidepressants), and - 0.55 (- 1.07, - 0.02) (CHM plus psychological treatments versus psychological treatments), or when measured in terms of treatment response rate, with RRs (95% CI) of 1.65 (1.19, 2.29) (CHM versus no treatment), 1.15 (1.03, 1.28) (CHM versus psychological treatments), 1.32 (1.07, 1.63) (CHM plus antidepressants versus antidepressants), and 1.70 (1.02, 2.85) (CHM plus psychological treatments versus psychological treatments). Compared with antidepressants, these CHMs showed borderline superiority for improving the response rate, with an RR (95% CI) of 1.08 (0.93, 1.26). Subgroup analysis based on psychiatric diagnosis (depression versus depressive symptoms) did not modify the direction of these estimates and neither could it explain the high level of heterogeneity. Patients in the CHM group experienced fewer adverse events of cardiac toxicity (P = 0.02), functional gastrointestinal disorders (P = 0.008), sleep disturbances (P = 0.02), blurred vision (P = 0.02) and fatigue (P = 0.03) than the patients in the no treatment group or the antidepressants group.

conclusionsAccording to the investigation of the twelve herbal preparations, the CHM intervention appears to alleviate depressive symptoms in cancer patients, either alone or combined with antidepressants or psychological treatments. However, a high risk of bias and high heterogeneity made the mean estimates uncertain. Well-designed trials with comprehensive and transparent reporting are warranted in the future.

Indexed as

Randomized Controlled Trials as TopicDepressionDrugs, Chinese HerbalHumansNeoplasmsDrugs, Chinese HerbalCancerChinese herbal medicineDepressionDepressive symptoms

Identifiers

PMID30674300
PMCPMC6345004
OpenAlexW2921728187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.