Trial reportTrials2017
The effects of using the PReDicT Test to guide the antidepressant treatment of depressed patients: study protocol for a randomised controlled trial.
Trial report in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02790970 (Interventional, Randomised, Open Label, Multi-centre, Parallel-group, Controlled Study Investigating the Effects of Using the PReDicT Test to Guide the Antidepressant Treatment of Depressed Patients), which is not on this map. Cited by 21 papers.
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.
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.
Interventional, Randomised, Open Label, Multi-centre, Parallel-group, Controlled Study Investigating the Effects of Using the PReDicT Test to Guide the Antidepressant Treatment of Depressed Patients
Who cites it
21 citing papers in PubMed.
- Pramipexole in addition to mood stabilisers for treatment-resistant bipolar depression: the PAX-BD randomised double-blind placebo-controlled trial.Health technology assessment (Winchester, England) · 2025Trial
- Cost-Effectiveness of Positive Memory Training (PoMeT) for the Treatment of Depression in Schizophrenia.International journal of environmental research and public health · 2022Trial
- The cost-effectiveness of predictive algorithm guided primary antidepressant treatment: economic evaluation of the multinational PReDicT randomised controlled trial.BJPsych open · 2026Article
- Article
- Cost-effectiveness of pramipexole augmentation for acute phase and maintenance therapy of treatment-resistant depression compared to placebo augmentation: economic evaluation of the PAX-D randomised controlled trial.The Lancet regional health. Europe · 2026Article
- A Hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM)-Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis.Diagnostics (Basel, Switzerland) · 2025Article
- Effects of add-on Celecoxib treatment on patients with schizophrenia spectrum disorders and inflammatory cytokine profile trial (TargetFlame): study design and methodology of a multicentre randomized, placebo-controlled trial.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
- Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma.Frontiers in psychiatry · 2023Review
- Does the relative importance of the OxCAP-MH's capability items differ according to mental ill-health experience?Health and quality of life outcomes · 2022Article
- Feasibility, acceptability and costs of nurse-led Alpha-Stim cranial electrostimulation to treat anxiety and depression in university students.BMC primary care · 2022Article
- Prediction of Prognostic Risk Factors in Patients with Invasive Candidiasis and Cancer: A Single-Centre Retrospective Study.BioMed research international · 2022Article
- Hot and cold cognitive disturbances in antidepressant-free patients with major depressive disorder: a NeuroPharm study.Psychological medicine · 2021Article
- Computational approaches and machine learning for individual-level treatment predictions.Psychopharmacology · 2021Review
- Cost and quality-of-life impacts of community treatment orders (CTOs) for patients with psychosis: economic evaluation of the OCTET trial.Social psychiatry and psychiatric epidemiology · 2021Article
- Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment.Medicina (Kaunas, Lithuania) · 2020Review
- Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol.Frontiers in psychiatry · 2020Article
- Value of monitoring negative emotional bias in primary care in England for personalised antidepressant treatment: a modelling study.Evidence-based mental health · 2019Article
- Measuring broader wellbeing in mental health services: validity of the German language OxCAP-MH capability instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Editorial: Cognition in Mood Disorders.Frontiers in psychiatry · 2019Article
- Precision pharmacotherapy: psychiatry's future direction in preventing, diagnosing, and treating mental disorders.Pharmacogenomics and personalized medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
backgroundAntidepressant medication is commonly used to treat depression. However, many patients do not respond to the first medication prescribed and improvements in symptoms are generally only detectable by clinicians 4-6 weeks after the medication has been initiated. As a result, there is often a long delay between the decision to initiate an antidepressant medication and the identification of an effective treatment regimen. Previous work has demonstrated that antidepressant medications alter subtle measures of affective cognition in depressed patients, such as the appraisal of facial expression. Furthermore, these cognitive effects of antidepressants are apparent early in the course of treatment and can also predict later clinical response. This trial will assess whether an electronic test of affective cognition and symptoms (the Predicting Response to Depression Treatment Test; PReDicT Test) can be used to guide antidepressant treatment in depressed patients and, therefore, hasten treatment response compared to a control group of patients treated as usual. METHODS/
designThe study is a randomised, two-arm, multi-centre, open-label, clinical investigation of a medical device, the PReDicT Test. It will be conducted in five European countries (UK, France, Spain, Germany and the Netherlands) in depressed patients who are commencing antidepressant medication. Patients will be randomised to treatment guided by the PReDicT Test (PReDicT arm) or to Treatment as Usual (TaU arm). Patients in the TaU arm will be treated as per current standard guidelines in their particular country. Patients in the PReDicT arm will complete the PReDicT Test after 1 (and if necessary, 2) weeks of treatment. If the test indicates non-response to the treatment, physicians will be advised to immediately alter the patient's antidepressant therapy by dose escalation or switching to another compound. The primary outcome of the study is the proportion of patients showing a clinical response (defined as 50% or greater decrease in baseline scores of depression measured using the Quick Inventory of Depressive Symptoms - Self-Rated questionnaire) at week 8. Health economic and acceptability data will also be collected and analysed. DISCUSSION: This trial will test the clinical efficacy, cost-effectiveness and acceptability of using the novel PReDicT Test to guide antidepressant treatment selection in depressed patients.
trial registrationClinicalTrials.gov, ID: NCT02790970 . Registered on 30 March 2016.
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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.