Video Experimental Relacionado
Updated: Jun 10, 2026
04:34
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
Correlación de las medidas de calidad con las estimaciones del efecto del tratamiento en metaanálisis de ensayos
Ethan M Balk1, Peter A L Bonis, Harry Moskowitz
1Evidence-based Practice Center, Division of Clinical Care Research, Tufts University School of Medicine, New England Medical Center, 750 Washington St, No. 63, Boston, MA 02111, USA.
JAMA
|June 8, 2002
Resumen
Las medidas de calidad individuales en ensayos controlados aleatorios no están consistentemente vinculadas al tamaño del efecto del tratamiento. Las asociaciones encontradas en áreas médicas específicas no fueron generalizables en todos los campos clínicos.
Área de la Ciencia:
- Metodología de la investigación médica Metodología de la investigación médica.
- Evaluación de la calidad de los ensayos clínicos.
- El metaanálisis.
Sus antecedentes:
- Las características de calidad del ensayo pueden influir en los efectos del tratamiento observados en estudios aleatorizados.
- La evaluación de la calidad del ensayo es común en el metanálisis, pero su asociación con los efectos del tratamiento no está bien establecida en diversas áreas médicas.
Objetivo del estudio:
- Investigar la asociación entre las medidas específicas de calidad y el tamaño del efecto del tratamiento en ensayos controlados aleatorios (ECA).
Principales métodos:
- Medidas de calidad evaluadas a partir de escalas publicadas en ECA en enfermedades cardiovasculares, enfermedades infecciosas, pediatría y cirugía.
- Se incluyeron metanálisis con al menos 6 ECA, resultados dicotómicos y heterogeneidad significativa.
- Se analizaron los ratios de probabilidad relativa (OR) comparando estudios de alta calidad con estudios de baja calidad.
Principales resultados:
- En 276 ECA y 26 metanálisis, 24 medidas de calidad no mostraron una asociación estadísticamente significativa con el efecto del tratamiento (ORs relativas: 0.83-1.26).
- Medidas específicas como el control con placebo y el cegamiento mostraron asociaciones en análisis limitados, pero estos fueron inconsistentes.
- La proporción de estudios que cumplen con los criterios de calidad varió significativamente en las cuatro áreas médicas.
Conclusiones:
- Las medidas de calidad individuales carecen de una asociación confiable con la fuerza del efecto del tratamiento en diversos estudios y campos médicos.
- Si bien las medidas de calidad específicas pueden ser relevantes en áreas definidas con evidencia de apoyo, su generalización es limitada.
- Los hallazgos advierten contra la amplia aplicación de las asociaciones de medidas de calidad con los efectos del tratamiento en el metaanálisis.
Videos de Conceptos Relacionados
02:20Correlations
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
01:52Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
01:06What are Estimates?
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates.
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
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, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:16Bioequivalence Data: Statistical Interpretation
The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
01:20Drug Product Performance: In Vitro–In Vivo Correlation
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while adhering...