Evidence map›Paper›PMID 33954269›Full record

ArticlePersonalized medicine in psychiatry

Identification of Clinical Features and Biomarkers that may inform a Personalized Approach to rTMS for Depression.

Sarah L Garnaat, Andrew M Fukuda, Shiwen Yuan, Linda L Carpenter

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Personalized medicine in psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07757815 (Multimodal Biomarkers and Robot-Guided Precision TMS for Early Detection and Treatment of Postpartum Depression), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 18% 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.

NCT07757815 nanot yet recruitingnot on this map

Multimodal Biomarkers and Robot-Guided Precision TMS for Early Detection and Treatment of Postpartum Depression

TypeinterventionalSponsorUniversity of MacauRan2026 to 2031Enrolled290ConditionsDepression, PostpartumArmsRepetitive Transcranial Magnetic Stimulation (rTMS)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. The use of noninvasive brain stimulation techniques in autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. rTMS in mental health disorders.Frontiers in network physiology · 2023
    Review
  10. Article
  11. Physiologically informed neuromodulation.Journal of the neurological sciences · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

4 authors at 2 institutions in 1 country.

Sarah L GarnaatDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.
Andrew M FukudaDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.
Shiwen YuanDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.
Linda L CarpenterDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI, 02906, USA.
Brown University · USBlackstone (United States) · US

Funding

Neuroimaging and Neuromodulation CoreP20GM130452 · NIGMS · BUTLER HOSPITAL (PROVIDENCE, RI) · PI GREENBERG, BENJAMIN D · 2019 to 2023
$11.3M
Promoting Research Training During Psychiatry ResidencyR25MH101076 · NIMH · BROWN UNIVERSITY · PI AUDREY TYRKA · 2013 to 2026
$2.8M
NIGMS NIH HHS P20 GM130452NIMH NIH HHS R25 MH101076
6 · The paper itself

Abstract

Repetitive transcranial magnetic stimulation (rTMS), an established treatment for treatment-resistant depression, may hold promise as a personalized medicine approach for the treatment of major depressive disorder (MDD). Clinical research has begun to identify patient-specific factors that could be used to guide rTMS treatment decisions or individualized treatment approaches. This literature review describes a range of patient factors which have been evaluated as potential biomarkers of rTMS treatment response, including patient- and illness-related characteristics, genetic factors, and biomarkers derived from neuroimaging and EEG. We highlight the need for validation data for imaging and electrophysiological biomarkers associated with rTMS as well as prospective evaluation of clinical predictors. Finally, we consider implications for future efforts to move toward a personalized medicine approach in the treatment of depression with rTMS.

Indexed as

DepressionPersonalized MedicineTranscranial Magnetic Stimulation

Identifiers

PMID33954269
PMCPMC8094130
OpenAlexW2980571375

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.