Results 151 to 160 of about 56,868 (264)

Squamoid Eccrine Ductal Carcinoma: Case Series of a Rare, Potentially Aggressive Skin Cancer Associated With Immunosuppression

Journal of Cutaneous Pathology, EarlyView.
ABSTRACT Squamoid Eccrine Ductal Carcinoma (SEDC) is a rare cutaneous adenexal carcinoma first described in 1997. It has distinct biphasic features on histology which commonly result in misdiagnosis as Bowen disease or cutaneous squamous cell carcinomas (cSCC) if diagnostic skin biopsies are too superficial. This may lead to a delay in diagnosis. It is
Xiang Li Tan, Pooja Patel, Jeva Cernova, Sarah Hogan, Jason Thomson, Efthymios Hadjimichael, Sharanpal Jeetle, Dorota Markiewicz, Michael Sheaff, Nilukshi Wijesuriya, Mark Hawthorne, Graeme Moir, Matthew Stodell, Kapil Bhargava, Suchitra Chinthapalli, Catherine A. Harwood   +15 more
wiley   +1 more source

Operative timing and surgical complexity in hand trauma: a multicenter analysis of replantation and non-replantation centers in Germany. [PDF]

Arch Orthop Trauma Surg
Nicklas A, Will Marks P, Dragu A, Schmidt H, Rotärmel A, HandTraumaRegister DGH.   +5 more
europepmc   +1 more source

S1 guideline sweat gland carcinoma

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary The current classification of sweat gland carcinomas is based on histomorphological characteristics and distinguishes between more than 20 entities. Most patients are older, but some subtypes also affect middle‐aged and younger patients. The majority of tumors arise de novo. Sweat gland carcinomas have nonspecific clinical features.
Mirjana Ziemer, Michael Erdmann, Abbas Agaimy, Jürgen C. Becker, Almut Böer‐Auer, Doris Helbig, Cornelia Erfurt‐Berge, Alexander Frisman, Conrad Hempel, Ulrike Leiter, Friedegund Meier, Thomas Mentzel, Lara Racz, Silke Redler, Stefan Schliep, Clemens Seidel, Alpaslan Tasdogan, Jochen Utikal, Carsten Weishaupt, Selma Ugurel   +19 more
wiley   +1 more source

Mycetoma as a major cause of limb amputation in Northeastern Ethiopia: A facility-based retrospective study. [PDF]

PLoS Negl Trop Dis
Enbiale W, Nyaoke B, Bekele A, Mohammed KA, Bedane D.   +4 more
europepmc   +1 more source

The burden of diabetic foot ulcers in a multi‐ethnic Asian cohort

Diabetic Medicine, EarlyView.
Abstract Aims Diabetic foot ulcers (DFUs) are a major source of morbidity among individuals with diabetes mellitus (DM), imposing a substantial burden on healthcare systems. Our institution established a multidisciplinary service aiming to facilitate early specialist intervention for DFU management.
Zongwen Wee, Yong Mong Bee, Sueziani Binte Zainudin   +2 more
wiley   +1 more source

Management of Chronic Septic Arthritis and Osteomyelitis Following Hallux Valgus Correction With Staged Antibiotic Cement Spacer and Subsequent Bulk Allograft Arthrodesis. [PDF]

J Am Acad Orthop Surg Glob Res Rev
Amick M, Parham S, Nixon D, Nixon D.
europepmc   +1 more source

A qualitative study exploring and understanding the experiences and unmet needs of adults with type 2 diabetes and diabetes‐related foot ulcers

Diabetic Medicine, EarlyView.
Abstract Aims Diabetes‐related foot ulcers (DFUs) are associated with depression, impaired health‐related quality of life, an increased risk of cardiovascular disease and early mortality. To inform holistic care pathways, this qualitative study explored the experiences and unmet needs of adults living with type 2 diabetes mellitus (T2DM) and DFUs ...
Molly Caba, Jane Speight, Agnieszka Glab, Patrick Highton, Kamlesh Khunti, Michelle Hadjiconstantinou   +5 more
wiley   +1 more source

Clinical Presentation, Risk Factors, and Clinical Outcomes of Patients Who Underwent Major Upper-Limb Amputation for Nontraumatic Indications: A Retrospective Study. [PDF]

Cureus
S R, Srinivas S, B D M.
europepmc   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source