AIMC Topic: Combined Modality Therapy

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Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

The Journal of thoracic and cardiovascular surgery Dec 13, 2018
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...
Antineoplastic Agents, Immunological Pneumonectomy Thoracic Surgery, Video-Assisted Nivolumab Male Humans Combined Modality Therapy Middle Aged Female Lung Neoplasms Aged Drug Administration Schedule Neoadjuvant Therapy Aged, 80 and over Thoracotomy Carcinoma, Non-Small-Cell Lung
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Effect of combined vitamin D administration plus dietary intervention on oxidative stress markers in patients with metabolic syndrome: A pilot randomized study.

Clinical nutrition ESPEN Oct 24, 2018
BACKGROUND: Metabolic syndrome (MetS) patients can have low 25-hydroxyvitamin D 25(OH)VitD levels, which may be associated with increased oxidative stress. There is little data on the effect of 25(OH)VitD administration plus dietary intervention on o...
Oxidative Stress Vitamin D Humans Vitamin D Deficiency Biomarkers Metabolic Syndrome Aryldialkylphosphatase Female Lipoproteins, LDL Dietary Supplements Adult Combined Modality Therapy Male Carboxylic Ester Hydrolases Middle Aged Greece Pilot Projects Dinoprost
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The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Journal of visualized experiments : JoVE Sep 23, 2018
Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability and can lead to severe incapacity and restriction of daily activities due to lower and upper limb impairments. Intensive physical and occupational thera...
Stroke Combined Modality Therapy Upper Extremity Stroke Rehabilitation Transcranial Direct Current Stimulation Humans Neuronal Plasticity Recovery of Function Robotics
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Optimal treatment assignment to maximize expected outcome with multiple treatments.

Biometrics Oct 31, 2017
When there is substantial heterogeneity of treatment effectiveness, it is crucial to identify individualized treatment assignment rules for comparative treatment selection. Traditional approaches directly model clinical outcome and define optimal tre...
Precision Medicine Treatment Outcome Support Vector Machine Combined Modality Therapy Drug Therapy, Combination Therapeutics Humans Computer Simulation
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Is two better than one? Muscle vibration plus robotic rehabilitation to improve upper limb spasticity and function: A pilot randomized controlled trial.

PloS one Oct 3, 2017
Even though robotic rehabilitation is very useful to improve motor function, there is no conclusive evidence on its role in reducing post-stroke spasticity. Focal muscle vibration (MV) is instead very useful to reduce segmental spasticity, with a con...
Pilot Projects Treatment Outcome Muscle, Skeletal Recovery of Function Robotics Humans Female Aged Middle Aged Electromyography Physical Therapy Modalities Stroke Stroke Rehabilitation Combined Modality Therapy Vibration Upper Extremity Muscle Spasticity
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Electromechanical-assisted training for walking after stroke.

The Cochrane database of systematic reviews May 10, 2017
BACKGROUND: Electromechanical- and robotic-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007.
Orthotic Devices Aged Humans Middle Aged Electric Stimulation Therapy Walking Randomized Controlled Trials as Topic Stroke Rehabilitation Gait Robotics Combined Modality Therapy Equipment Design Exercise Therapy Walking Speed
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Interhospital Transfer of Children in Septic Shock: A Clinician Interview Qualitative Study.

Journal of intensive care medicine Dec 14, 2016
OBJECTIVE:: To determine the factors that influence the decision to transfer children in septic shock from level II to level I pediatric intensive care unit (PICU) care.
Patient Transfer Humans Renal Replacement Therapy Clinical Decision-Making Male Catheterization, Central Venous Qualitative Research Fluid Therapy Adolescent Extracorporeal Membrane Oxygenation Intensive Care Units, Pediatric Combined Modality Therapy Shock, Septic Vasoconstrictor Agents
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Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.

BMC cancer Dec 1, 2016
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machi...
Models, Theoretical Antineoplastic Combined Chemotherapy Protocols Combined Modality Therapy Supervised Machine Learning Chemotherapy, Adjuvant Aged, 80 and over Adult Breast Neoplasms Middle Aged Patient Care Team Humans Machine Learning Algorithms Computer Simulation Clinical Decision-Making Female Aged
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Effect of Long-Term Hormonal Therapy (vs Short-Term Hormonal Therapy): A Secondary Analysis of Intermediate-Risk Prostate Cancer Patients Treated on NRG Oncology RTOG 9202.

International journal of radiation oncology, biology, physics Nov 8, 2016
PURPOSE: NRG Oncology RTOG 9202 was a randomized trial testing long-term adjuvant androgen deprivation (LTAD) versus initial androgen deprivation only (STAD) with external beam radiation therapy (RT) in mostly high-risk and some intermediate-risk pro...
Humans Retrospective Studies Aged Kaplan-Meier Estimate Aged, 80 and over Antineoplastic Agents, Hormonal Survival Rate Male Combined Modality Therapy Middle Aged Disease-Free Survival Time Factors Radiotherapy, Conformal Treatment Outcome Drug Administration Schedule Adenocarcinoma Risk Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading Androgen Antagonists
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Machine learning approaches to personalize early prediction of asthma exacerbations.

Annals of the New York Academy of Sciences Sep 14, 2016
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...
Models, Biological Combined Modality Therapy Telemedicine Decision Support Systems, Clinical Computational Biology Monitoring, Physiologic Bayes Theorem Internet Asthma Disease Progression Severity of Illness Index ROC Curve Humans Machine Learning Algorithms Precision Medicine Prognosis Electronic Health Records Adult Self Care
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