Multi-center validation
Research gap analysis derived from 2 medicine papers in our local library.
The gap
There is a need for larger sample sizes and multiple center validations to ensure the generalizability of findings across diverse populations and settings in various medical studies.
Consensus across the literature
The papers collectively establish that single-center designs may limit the applicability of results, thus multi-center validations are necessary.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Impact of autumn–winter wind speed and low temperatures on acute coronary syndrome: a 5-year single-center study in Beijing (2026) · doi
The single-center design may constrain the generalizability of the findings, and thus validation across multiple centers and diverse climatic regions is warranted.
Keywords: single center design constrain generalizability thus validation across multiple centers diverse climatic regions warranted - NGHIÊN CỨU ĐẶC ĐIỂM BỆNH VÕNG MẠC ĐÁI THÁO ĐƯỜNG VÀ ỨNG DỤNG TRÍ TUỆ NHÂN TẠO TRONG KHÁM SÀNG LỌC TẠI BỆNH VIỆN ĐA KHOA TỈNH PHÚ THỌ (2026) · doi
Further studies with larger sample sizes and multiple centers should be conducted to validate findings across different populations and settings.
Keywords: further larger sample sizes multiple centers conducted validate across different populations settings
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