Evidence map›Paper›PMID 28562526›Full record

ReviewMedicine2017

Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis.

Chuanjun Zhuo, Rong Xue, Lanlan Luo, Feng Ji, Hongjun Tian, Hongru Qu, Xiaodong Lin, Ronghuan Jiang, Ran Tao

Open access · goldAbstract readReviewNetwork Meta-Analysis
In one paragraph

Review in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Serotonin as a biomarker of toxin-induced Parkinsonism.Molecular medicine (Cambridge, Mass.) · 2024
    Article
  10. Review
  11. Review
  12. The Transcription Factor Nrf2 Mediates the Effects ofInternational journal of molecular sciences · 2023
    Article
  13. Article
  14. Parkinson and depression: review and outlook.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    Review
  15. Article
  16. Article
  17. Comparison of pramipexole and citalopram in the treatment of depression in Parkinson's disease: A randomized parallel-group trial.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Article
  18. Article
  19. Article
  20. Review
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

9 authors at 5 institutions in 2 countries.

Chuanjun ZhuoDepartment of Psychological Medicine, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Institute of Mental Health, Jining Medical University, Jining, Shandong Department of Psychological Medicine, Tianjin Mental Health Center Department of Psychological Medicine, Tianjin Anning Hospital Department of Neurology, Tianjin Medical University General Hospital, Tianjin Department of Psychological Medicine, Chinese PLA (People's Liberation Army) General Hospital Department of Psychological Medicine, General Hospital of Beijing Military Region, Chinese PLA, Beijing, China.
Rong Xue
Lanlan Luo
Feng Ji
Hongjun Tian
Hongru Qu
Xiaodong Lin
Ronghuan Jiang
Ran Tao
Tianjin Anding Hospital · CNTianjin Medical University General Hospital · CNHainan Branch of People's Liberation Army General Hospital · CNJining Medical University · CNWenzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson disease (PD) was considered as the 2nd most prevalent neurodegenerative disorder after Alzheimer disease, while depression is a prevailing nonmotor symptom of PD. Typically used antidepression medication includes tricyclic antidepressants (TCA), selective serotonin reuptake inhibitors (SSRI), serotonin and norepinephrine reuptake inhibitors (SNRI), monoamine-oxidase inhibitors (MAOI), and dopamine agonists (DA). Our study aimed at evaluating the efficacy of antidepressive medications for depression of PD.

methodsWeb of Science, PubMed, Embase, and the Cochrane library were searched for related articles. Traditional meta-analysis and network meta-analysis (NMA) were performed with outcomes including depression score, UPDRS-II, UPDRS-III, and adverse effects. Surface under the cumulative ranking curve (SUCRA) was also performed to illustrate the rank probabilities of different medications on various outcomes. The consistency of direct and indirect evidence was also assessed by node-splitting method.

resultsResults of traditional pairwise meta-analysis were performed. Concerning depression score, significant improvement was observed in AD, MAOI, SSRI, and SNRI compared with placebo. NMA was performed and more information could be obtained. DA was illustrated to be effective over placebo concerning UPDRS-III, MAOI, and SNRI. DA demonstrated a better prognosis in UPDRS-II scores compared with placebo and MAOI. However, DA and SSRI demonstrated a significant increase in adverse effects compared with placebo. The SUCRA value was calculated to evaluate the ranking probabilities of all medications on investigated outcomes, and the consistency between direct and indirect evidences was assessed by node-splitting method.

conclusionSSRI had a satisfying efficacy for the depression of PD patients and could improve activities of daily living and motor function of patient but the adverse effects are unneglectable. SNRI are the safest medication with high efficacy for depression as well while other outcomes are relatively poor.

Indexed as

Antidepressive AgentsDepressionHumansParkinson DiseaseAntidepressive Agents

Identifiers

PMID28562526
PMCPMC5459691
OpenAlexW2619174105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.