Description

This Master Prompt develops a systematic framework for identifying, selecting and mapping the evidence required for an umbrella review. It covers information-source selection, search-concept development, database-specific strategies, supplementary searching, record management, duplicate identification, screening, full-text assessment and transparent documentation of inclusion decisions. It also addresses the construction and interpretation of evidence maps across populations, interventions, exposures, outcomes, settings and review designs. Drawing on the supplied healthcare, education, logistics and computer-vision papers, it recognizes that different research questions require different search architectures and classification systems. Particular attention is given to distinguishing the number of published reviews from the amount, independence and credibility of the underlying evidence. The framework supports reproducible searches, defensible selection decisions and useful evidence maps while making restrictions, missing information, overlap and gaps in coverage explicit.