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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
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Navegando las complejidades en ensayos aleatorizados: perspectivas del ensayo EMERGE en medio de la pandemia y la

Christine Newman1,2,3, Fidelma Dunne1,2,3, Alberto Alvarez-Iglesias2

  • 1College of nursing, medicine and health science, University of Galway, Galway, County Galway, Ireland.

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El ensayo Early Metformin in Gestational Diabetes (EMERGE) superó con éxito el COVID-19 y los ciberataques implementando estrategias flexibles. Esto aseguró la continuación del reclutamiento y la integridad de los datos para la investigación sobre diabetes mellitus gestacional.

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Área de la Ciencia:

  • Ensayos clínicos
  • Salud pública
  • Enfermedades infecciosas

Sus antecedentes:

  • La pandemia de COVID-19 interrumpió significativamente las operaciones globales de ensayos clínicos, causando retrasos y terminaciones.
  • El ensayo Early Metformin in Gestational Diabetes (EMERGE) enfrentó desafíos únicos, incluida la pandemia de COVID-19 y los ataques a redes informáticas (CNA).

Objetivo del estudio:

  • Describir los desafíos y las soluciones para mantener el reclutamiento activo en una cohorte de pacientes de alto riesgo durante la pandemia de COVID-19.
  • Detallar las técnicas adaptadas para el reclutamiento, la notificación de eventos adversos y la notificación de laboratorio durante dos CNA críticos.
  • Presentar soluciones desde la perspectiva del sitio del ensayo clínico y del patrocinador.

Principales métodos:

  • Se implementó la telemedicina y la videoconferencia para superar el trabajo remoto y la escasez de personal.
  • Se utilizaron sistemas de respaldo basados en papel y rigurosas verificaciones de integridad de datos para gestionar las interrupciones del sistema causadas por los CNA.
  • Se adaptaron las vías de diagnóstico y el monitoreo de pacientes para la diabetes mellitus gestacional en respuesta a las restricciones relacionadas con la pandemia.

Principales resultados:

  • A pesar de la COVID-19 y dos CNA, el ensayo EMERGE continuó con éxito el reclutamiento activo y el seguimiento.
  • Los desafíos clave incluyeron la escasez de personal, la transición al trabajo remoto y las interrupciones en los sistemas clínicos y de laboratorio.
  • Las soluciones implicaron una combinación de herramientas digitales (telemedicina) y métodos tradicionales (registros en papel), junto con una gestión de datos robusta.

Conclusiones:

  • Superar desafíos multifacéticos requirió una reorganización rápida, trabajo en equipo y flexibilidad tanto del personal del ensayo como del patrocinador.
  • El éxito del ensayo subrayó la importancia de la innovación rápida, la adaptabilidad y la planificación integral del protocolo para gestionar crisis imprevistas.
  • La integración de sistemas digitales y basados en papel demostró ser crucial para mantener la continuidad del ensayo y la integridad de los datos.