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  1. 10 de may. de 2024 · PEDro es una base de datos bien establecida, robusta y confiable que proporciona acceso a más de 60.000 ensayos controlados aleatorios, revisados sistemáticamente y guías de práctica clínica basadas en la evidencia relevante para la fisioterapia. ¿Con que frecuencia se actualiza la base de datos PEDro?

  2. 14 de may. de 2024 · PEDro (Physiotherapy Evidence Database) | Duke University Medical Center Library Online. Bibliographic details and abstracts of randomized controlled trials, systematic reviews, and evidence-based clinical practice guidelines in physiotherapy. Help. Ask a Librarian. Database Type. Article Databases. Clinical Sciences. Access.

  3. Hace 17 horas · PEDro has been informing physiotherapy practice for over 24 years. It is a free database of over 61,000 trials, reviews and guidelines evaluating physiotherapy interventions. You can SEARCH to answer your questions, BROWSE the latest research in your area of interest, LEARN more about evidence-based practice, access useful RESOURCES , or find out more ABOUT this invaluable global resource.

  4. 14 de may. de 2024 · PEDro. PEDro is the Physical therapy Evidence Database produced by the Center for Evidence- Based Physiotherapy (CEPB), based at the school of Physiotherapy at the University of Sydney, Australia. PEDro provides access to abstracts of randomized controlled trials, systematic reviews and evidence-based clinical practice guidelines.

  5. 24 de abr. de 2024 · PEDro es la base de datos sobre Fisioterapia Basada en la Evidencia. PEDro es una base de datos gratuita con más de 43.000 ensayos controlados aleatorios, revisiones sistemáticas y guías de práctica clínica sobre Fisioterapia. Bases de datos multidisciplinares. Web of Science.

  6. 6 de may. de 2024 · The database was last updated on 6 May 2024 (this includes records added or amended since 8 April 2024). The next update is planned for 3 June 2024. The total number of records on the database is 61,154.

  7. 3 de may. de 2024 · PEDRO Scale: The PEDro scale is designed to help people using the PEDro database identify which of the known or suspected randomised clinical trials archived on the PEDro database are likely to be internally valid (criteria 2-9), and could have sufficient statistical information to make their results interpretable (criteria 10-11).