ArticleNeuropsychiatric disease and treatment2016
The use of the Psychiatric Electroencephalography Evaluation Registry (PEER) to personalize pharmacotherapy.
Article in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.Journal of affective disorders · 2019Trial
- The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients.Journal of psychopharmacology (Oxford, England) · 2019Trial
- Algorithm-informed treatment from EEG patterns improves outcomes for patients with major depressive disorder.Journal of family medicine and primary care · 2024Article
- One size does not fit all: notable individual variation in brain activity correlates of antidepressant treatment response.Frontiers in psychiatry · 2024Article
- Machine learning in biosignals processing for mental health: A narrative review.Frontiers in psychology · 2022Review
- A Promising New Strategy to Improve Treatment Outcomes for Patients with Depression.Population health management · 2019Article
- Quantitative Electroencephalography in Guiding Treatment of Major Depression.Frontiers in psychiatry · 2018Review
- Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.Frontiers in psychiatry · 2018Article
- Letter to the editor regarding the article "The use of Psychiatric Electroencephalography Evaluations Registry (PEER) to personalize pharmacotherapy".Neuropsychiatric disease and treatment · 2017Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aims to determine whether Psychiatric Electroencephalography Evaluation Registry (PEER) Interactive (an objective, adjunctive tool based on a comparison of a quantitative electroencephalogram to an existing registry of patient outcomes) is more effective than the current standard of care in treatment of subjects suffering from depression. PATIENTS AND
methodsThis is an interim report of an ongoing, 2-year prospective, randomized, double blind, controlled study to evaluate PEER Interactive in guiding medication selection in subjects with a primary diagnosis of depression vs standard treatment. Subjects in treatment at two military hospitals were blinded as to study group assignment and their self-report symptom ratings were also blinded. Quick Inventory of Depressive Symptomatology, Self-Report (QIDS-SR16) depression scores were the primary efficacy endpoint. One hundred and fifty subjects received a quantitative electroencephalography exam and were randomized to either treatment as usual or PEER-informed pharmacotherapy. Subjects in the control group were treated according to Veterans Administration/Department of Defense Guidelines, the current standard of care. In the experimental group, the attending physician received a PEER report ranking the subject's likely clinical response to on-label medications.
resultsIn this post hoc interim analysis subjects were separated into Report Followed and Report Not Followed groups - based on the concordance between their subsequent treatment and PEER medication guidance. We thus evaluated the predictive validity of PEER recommendations. We found significantly greater improvements in depression scores (QIDS-SR16 P<0.03), reduction in suicidal ideation (Concise Health Risk Tracking Scale-SR7 P<0.002), and post-traumatic stress disorder (PTSD) score improvement (PTSD Checklist Military/Civilian P<0.04) for subjects treated with PEER-recommended medications compared to those who did not follow PEER recommendations.
conclusionThis interim analysis suggests that an objective tool such as PEER Interactive can help improve medication selection. Consistent with results of earlier studies, it supports the hypothesis that PEER-guided treatment offers distinct advantages over the current standard of care.
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