Evidence map›Paper›PMID 32664144›Full record

ArticleMedicine2020

Complementary and alternative therapies for post-traumatic stress disorder: A protocol for systematic review and network meta-analysis.

Kai Song, Fanjie Xiong, Ning Ding, Ailing Huang, Hong Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. 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
0.2field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

5 authors at 2 institutions in 2 countries.

Kai SongCollege of Acupuncture and Tuina.
Fanjie XiongCollege of Acupuncture and Tuina.
Ning DingCollege of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Ailing HuangCollege of Acupuncture and Tuina.
Hong ZhangCollege of Acupuncture and Tuina.ORCID 0000-0002-6417-8399
Acupuncture And Massage College · USChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-traumatic stress disorder (PTSD) is a psychiatric disorder. While bringing psychologic pain to patients, it also damages their social function, which is a great threat to people's life and health. Complementary and alternative medicine (CAM) therapies have been used clinically to treat PTSD; however, the selection strategies of different CAM interventions in clinical practice is still uncertain, and the purpose of this study is to evaluate the efficacy and acceptability of different CAM therapies using systematic review and network meta-analysis.

methodsAccording to the strategy, the authors will retrieve a total of 7 electronic databases by June 2020. After a series of screening, the 2 researchers will use Aggregate Data Drug Information System and Stata software to analyze the data extracted from randomized controlled trials of CAM therapies for the PTSD. Finally, the evidence grade of the results will be evaluated.

resultsThis study will provide a reliable evidence for the selection of CAM therapies for PTSD.

conclusionThe results of this study will provide references for evaluating the influence of different CAM therapies for PTSD, and provide decision-making references for clinical research.

Indexed as

Cognitive Behavioral TherapyComplementary TherapiesStress Disorders, Post-TraumaticHumansNetwork Meta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID32664144
PMCPMC7360199
OpenAlexW3042160607

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.