Evidence map›Paper›PMID 37973487›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2024

Effectiveness of Prefrontal Transcranial Magnetic Stimulation for Depression in Older US Military Veterans.

Nicole C Walker, Noah S Philip, F Andrew Kozel, Jerome A Yesavage, Michelle R Madore

Open access · greenAbstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2024. 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
0.7field-weighted citation impact, top 29% 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 3 institutions in 1 country.

Nicole C WalkerMental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System (NCW, JAY, MRM), Palo Alto, CA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine (NCW, JAY, MRM), CA.
Noah S PhilipVA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System (NSP), Providence, RI; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University (NSP), Providence, RI.
F Andrew KozelDepartment of Behavioral Sciences and Social Medicine, Florida State University (FAK), Tallahassee, FL.
Jerome A YesavageMental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System (NCW, JAY, MRM), Palo Alto, CA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine (NCW, JAY, MRM), CA.
Michelle R MadoreMental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System (NCW, JAY, MRM), Palo Alto, CA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine (NCW, JAY, MRM), CA. Electronic address: Michelle.Madore@va.gov.
VA Palo Alto Health Care System · USBrown University · USFlorida State University · US

Funding

Mechanistic circuit markers of transcranial magnetic stimulation outcomes in pharmacoresistant depressionR01MH120126 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2019 to 2023
$3.4M
Assessing an electroencephalography (EEG) biomarker of response to transcranial magnetic stimulation for major depressionI01CX002088 · VA · WHITE RIVER JUNCTION VA MEDICAL CENTER · PI Paul E Holtzheimer · 2021 to 2026
–
VA RR&D Center for Neurorestoration and NeurotechnologyI50RX002864 · VA · PROVIDENCE VA MEDICAL CENTER · PI BENJAMIN D GREENBERG, LEIGH R HOCHBERG · 2018 to 2026
–
CSRD VA I01 CX002088NIMH NIH HHS R01 MH120126RRD VA I50 RX002864
6 · The paper itself

Abstract

objectiveWhile typical aging is associated with decreased cortical volume, major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) likely exacerbates this process. Cerebral atrophy leads to increased coil-to-cortex distance and when using transcranial magnetic stimulation (TMS), potentially reducing effectiveness in older adults.

methodsData from a large-scale quality improvement project was used. Included veterans eligible for TMS and completed TMS treatment. Age was assessed as a predictive factor of depression outcomes after TMS treatment among veterans. Secondary analyses examined the impact of age on 1) MDD response and remission and 2) MDD change within MDD-only verses comorbid MDD and PTSD groups.

resultsThe entire sample included 471 veterans. Primary analysis revealed age as a negative predictor of depression outcomes (p = 0.019). Secondary analyses found age to be a significant predictor of remission (p = 0.004), but not clinical response. Age was not a predictive factor in depression outcomes between those with MDD-only compared to MDD+PTSD.

conclusionsIncreased age predicts greater MDD symptom reduction after TMS. Although age did not predict response rates, it did predict increased rates of remission in veterans. Age did not differentially predict depression outcomes between those with or without PTSD. The sample size was sufficient to discern a difference in efficaciousness, and limitations were those inherent to registry studies in veterans. This data indicates that TMS can be an important treatment option for older individuals.

Indexed as

Major Depressive DisorderStress Disorders, Post-TraumaticVeteransAgedComorbidityDepressionHumansTranscranial Magnetic StimulationTreatment Outcomegeriatric treatmentmajor depressive disorderPTSDTranscranial magnetic stimulationveterans

Identifiers

PMID37973487
PMCPMC11231732
OpenAlexW4387860932

What OpenQuestion holds

Textmetadata
LicenceTDM
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.