Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7608
Abstract: Biomarkers that predict treatment effects may be used to guide treatment decisions, thus improving patient outcomes. A meta-analysis of individual participant data (IPD) is potentially more powerful than a single-study data analysis in evaluating markers… read more here.
Keywords: treatment selection; treatment; clinical trials; participant data ... See more keywords
Treatment selection for esophageal cancer: evaluation from a nationwide database
Sign Up to like & getrecommendations! Published in 2018 at "Esophagus"
DOI: 10.1007/s10388-018-0605-0
Abstract: BackgroundMost elderly patients poorly tolerate the standard treatment for esophageal cancer; however, little information is available regarding the appropriateness of non-standard esophageal cancer treatments for those patients. This study aims to analyze the treatment costs… read more here.
Keywords: esophageal cancer; treatment selection; cancer; volume centers ... See more keywords
Is personalized treatment selection a promising avenue in bpd research? A meta-regression estimating treatment effect heterogeneity in RCTs of BPD.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of consulting and clinical psychology"
DOI: 10.1037/ccp0000803
Abstract: OBJECTIVE Psychotherapy is the first-line treatment for borderline personality disorder (BPD) in evidence-based care. The effects are, on average, medium; however, nonresponse rates point to differential treatment effects. Personalized treatment selection has the potential to… read more here.
Keywords: heterogeneity; treatment effects; treatment selection; treatment ... See more keywords
Personalized treatment selection using observational data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.2019689
Abstract: Estimating the optimal treatment regime based on individual patient characteristics has been a topic of discussion in many forums. Advanced computational power has added momentum to this discussion over the last two decades and practitioners… read more here.
Keywords: personalized treatment; optimal treatment; observational data; treatment selection ... See more keywords
A demonstration of a multi-method variable selection approach for treatment selection: Recommending cognitive–behavioral versus psychodynamic therapy for mild to moderate adult depression
Sign Up to like & getrecommendations! Published in 2019 at "Psychotherapy Research"
DOI: 10.1080/10503307.2018.1563312
Abstract: ABSTRACT Objective: We use a new variable selection procedure for treatment selection which generates treatment recommendations based on pre-treatment characteristics for adults with mild-to-moderate depression deciding between cognitive behavioral (CBT) versus psychodynamic therapy (PDT). Method:… read more here.
Keywords: treatment selection; depression; treatment; selection ... See more keywords
Evaluating biomarkers for treatment selection from reproducibility studies.
Sign Up to like & getrecommendations! Published in 2020 at "Biostatistics"
DOI: 10.1093/biostatistics/kxaa019
Abstract: We consider evaluating new or more accurately measured predictive biomarkers for treatment selection based on a previous clinical trial involving standard biomarkers. Instead of rerunning the clinical trial with the new biomarkers, we propose a… read more here.
Keywords: treatment selection; treatment; reproducibility; standard biomarkers ... See more keywords
Imaging diagnosis and treatment selection for brain tumors in the era of molecular therapeutics
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Imaging"
DOI: 10.1186/s40644-022-00455-5
Abstract: Currently, most CNS tumors require tissue sampling to discern their molecular/genomic landscape. However, growing research has shown the powerful role imaging can play in non-invasively and accurately detecting the molecular signature of these tumors. The… read more here.
Keywords: imaging diagnosis; diagnosis treatment; selection brain; tumors era ... See more keywords
Anterior cingulate cortex activity as a candidate biomarker for treatment selection in social anxiety disorder
Sign Up to like & getrecommendations! Published in 2018 at "BJPsych Open"
DOI: 10.1192/bjo.2018.15
Abstract: Summary We aimed to identify biomarkers to guide the decision to add selective serotonin reuptake inhibitors (SSRI) to psychological treatment for social anxiety disorder (SAD). Forty-eight patients with SAD underwent functional magnetic resonance imaging and… read more here.
Keywords: treatment selection; treatment; cingulate cortex; anterior cingulate ... See more keywords
Developing and validating a multivariable predictive biomarker for treatment selection for oropharyngeal squamous cell carcinoma: The PREDICTR-OPC study.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2017.35.15_suppl.6004
Abstract: 6004Background: To date there are no validated predictive tests to inform treatment selection for patients with oropharyngeal cancer (OPC). Currently treatment is decided on disease resectability, clinician preference and patient choice. Methods: Objective To develop… read more here.
Keywords: treatment selection; biomarker; treatment; cohort ... See more keywords
Treatment selection using prototyping in latent-space with application to depression treatment
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0258400
Abstract: Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering of patients; or a sub-grouping paradigm which ignores personal differences within the identified groups. While both paradigms… read more here.
Keywords: treatment selection; depression; treatment; latent space ... See more keywords
Treatment selection for patients with relapsed or refractory follicular lymphoma
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1120358
Abstract: Follicular lymphoma (FL) is the second most common lymphoma in the United States and is characterized by a variable clinical course, disease heterogeneity, and a relapse-and-remittance pattern historically accompanied by successive shortening of clinical response… read more here.
Keywords: lymphoma; relapsed refractory; treatment selection; follicular lymphoma ... See more keywords