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International Wound Journal|February 9, 2023
A systematic review of life satisfaction and related factors among burns patientsArman Parvizi, Soudabeh Haddadi, Pooyan Ghorbani Vajargah, et al.
BMC Nursing|May 8, 2026
The relationship between caring stress management and quality of working life in Iranian nurses: the mediating role of hopeMozhgan Taebi, Sharipova Gulnihol, Leila Poursoleiman, et al.
International Wound Journal|January 18, 2023
Effects of aromatherapy with Rosa damascene and lavender on pain and anxiety of burn patients: A systematic review and meta-analysisRamyar Farzan, Mahbobeh Firooz, Pooyan Ghorbani Vajargah, et al.
International Wound Journal|July 11, 2023
A systematic review of nursing students' attitude and related factors towards pressure ulcer preventionAlaa Hamza Hermis, Amirabbas Mollaei, Pooyan Ghorbani Vajargah, et al.
Archives of Academic Emergency Medicine|August 23, 2023
Needle Direction and Distance of Arteriovenous Fistula Cannulation in Hemodialysis Adequacy; a Systematic Review and Meta-AnalysisSamad Karkhah, Majid Pourshaikhian, Pooyan Ghorbani Vajargah, et al.
Annals of Medicine and Surgery (2012)|October 3, 2024
Identification of proteins' expression pathway and the effective miRNAs for the treatment of human papillomavirus-induced cervical cancer: in-silico analyses-experimental researchMarzieh Monemi, Lida Garrosi, Samira Mirzaei, et al.
Sleep Medicine|September 27, 2023
The effect of melatonin on sleep quality and cognitive function of individuals undergoing hemodialysisSalehi Hikooei Marzieh, Hedayat Jafari, Seyed Afshin Shorofi, et al.
International Wound Journal|March 24, 2023
A systematic review of social support and related factors among burns patientsRamyar Farzan, Pooyan Ghorbani Vajargah, Amirabbas Mollaei, et al.
International Wound Journal|March 23, 2023
A systematic review of health care workers' knowledge and related factors towards burn first aidMohsen Yarali, Arman Parvizi, Pooyan Ghorbani Vajargah, et al.
International Wound Journal|June 14, 2023
Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithmPooya M Tehrany, Mohammad Reza Zabihi, Pooyan Ghorbani Vajargah, et al.
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