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Wound healing outcomes: Using big data and a modified intent-to-treat method as a metric for reporting healing rates
Journal article   Peer reviewed

Wound healing outcomes: Using big data and a modified intent-to-treat method as a metric for reporting healing rates

William J Ennis, Rachel A Hoffman, Geoffrey C Gurtner, Robert S Kirsner and Hanna M Gordon
Wound repair and regeneration, Vol.25(4), pp.665-672
2017-08
PMID: 28846162

Abstract

Data Interpretation, Statistical United States Humans Middle Aged Skin Care Chronic Disease - epidemiology Male Models, Statistical Patient Outcome Assessment Wound Healing Wounds and Injuries - epidemiology Wounds and Injuries - therapy Female Retrospective Studies

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.168 Vascular, Cardiac & Thoracic Surgery
1.168.699 Peripheral Arterial Disease
Web Of Science research areas
Cell Biology
Dermatology
Medicine, Research & Experimental
Surgery
ESI research areas
Clinical Medicine

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

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