Evidence map›Paper›PMID 28083422›Full record

ArticleRand health quarterly2016

St. John's Wort for Major Depressive Disorder: A Systematic Review.

Alicia Ruelaz Maher, Susanne Hempel, Eric Apaydin, Roberta M Shanman, Marika Booth, Jeremy N V Miles, Melony E Sorbero

Open access · greenAbstract read
In one paragraph

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 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
1.8field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Essential Oils and Health.The Yale journal of biology and medicine · 2020
    Review
  5. Article
  6. 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

7 authors.

Alicia Ruelaz Maher
Susanne Hempel
Eric Apaydin
Roberta M Shanman
Marika Booth
Jeremy N V Miles
Melony E Sorbero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RAND researchers conducted a systematic review that synthesized evidence from randomized controlled trials of St. John's wort (SJW)-used adjunctively or as monotherapy-to provide estimates of its efficacy and safety in treating adults with major depressive disorder. Outcomes of interest included changes in depressive symptomatology, quality of life, and adverse effects. Efficacy meta-analyses used the Hartung-Knapp-Sidik-Jonkman method for random-effects models. Quality of evidence was assessed using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. In total, 35 studies met inclusion criteria. There is moderate evidence, due to unexplained heterogeneity between studies, that depression improvement based on the number of treatment responders and depression scale scores favors SJW over placebo, and results are comparable to antidepressants. The existing evidence is based on studies testing SJW as monotherapy; there is a lack of evidence for SJW given as adjunct therapy to standard antidepressant therapy. We found no systematic difference between SJW extracts, but head-to-head trials are missing; LI 160 (0.3% hypericin, 1-4% hyperforin) was the extract with the greatest number of studies. Only two trials assessed quality of life. SJW adverse events reported in included trials were comparable to placebo, and were fewer compared with antidepressant medication; however, adverse event assessments were limited, and thus we have limited confidence in this conclusion.

Identifiers

PMID28083422
PMCPMC5158227
OpenAlexW2339862364

What OpenQuestion holds

Textmetadata
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.