ArticleRand health quarterly2016
Acupuncture for Major Depressive Disorder: A Systematic Review.
Article in Rand health quarterly, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Use of Acupuncture for Adult Health Conditions, 2013 to 2021: A Systematic Review.JAMA network open · 2022Pooled it
- Acupuncture alleviates CSDS-induced depressive-like behaviors by modulating synaptic plasticity in vCA1.Theranostics · 2025Article
- Effects of Baihui electroacupuncture in a rat model of depression.Annals of translational medicine · 2020Article
- Effect of Electroacupuncture at GV20 on Sleep Deprivation-Induced Depression-Like Behavior in Mice.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Pharmacological and non-pharmacological treatments for major depressive disorder: review of systematic reviews.BMJ open · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) is a prevalent condition associated with significant burden in terms of reduced quality of life, lower productivity, increased prevalence of other conditions and increased health care costs. We conducted a systematic review and qualitative summary of randomized controlled trials (RCTs) that assessed the effectiveness and safety of acupuncture for the treatment of MDD. We searched the databases PubMed, CINAHL, PsycINFO, Web of Science, Embase, CDSR, CENTRAL, clinicaltrials.gov, DARE, and PILOTS for English-language RCTs published through January 2015. Two independent reviewers screened the identified literature against inclusion and exclusion criteria, abstracted study level data, and assessed the risk of bias and methodological quality of included studies. The quality of the evidence was assessed using GRADE. Eighteen studies met inclusion criteria. Eleven assessed acupuncture as monotherapy, seven as adjunct depression treatment. Intervention approaches and comparators varied. Evidence on the effectiveness and comparative effectiveness of acupuncture to treat MDD for the outcomes depression improvement, measured as scale score differences and the number of responders, is very weak. Acupuncture may be superior to waitlist (low quality of evidence) but findings for effect estimates compared to other comparators are inconclusive. Few studies reported on patients achieving remission. The effect of acupuncture on relapse rates could not be determined. Too few studies assessed quality of life to estimate treatment effects. Reported adverse events were typically mild in nature, but the assessment lacked rigor and studies were not designed to detect rare events.
Identifiers
28083417PMC5158222W2982616113What OpenQuestion holds
Registered trials
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.