Longitudinally extensive transverse myelitis as an initial manifestation of sarcoidosis: A rare case and its management.

Key Clinical Message: Sarcoidosis-induced LETM represents a rare but life-threatening neurological manifestation of sarcoidosis, characterized by spinal cord inflammation, and associated neurological deficits. Sarcoidosis should be included in the differential diagnosis of LETM, particularly in patients with no lung involvement. Prompt recognition and management are obligatory to optimize outcomes and prevent long-term disability.

Management of Marjolin's ulcer with popliteal lymphadenopathy with surgical resection and lymphadenectomy in a young patient, an uncommon lesion and overlooked entity: A case report.

Key Clinical Message: In non-healing ulcers with a previous history of burns, clinicians should have a high index of suspicion for Marjolin's ulcer and a low threshold for biopsy, irrespective of age.

Abstract: Marjolin's ulcer is a rare malignancy arising from chronic inflammation and commonly manifests in burn scars. Thus, in cases of chronic wounds or non-healing ulcers, health professionals should have a high index of suspicion and a low threshold for biopsy, irrespective of age.

Bernard Soulier syndrome: A case report from Pakistan.

Bernard Soulier Syndrome should be suspected in patients with bleeding disorder symptoms and significant family history, where consanguineous marriages are common. Diagnosis can be confirmed using a ristocetin test and a peripheral blood smear.

Murphy's Law and Ophthalmic Complications in a Patient With Type 1 Diabetes Mellitus.

Diabetes can lead to various acute clinical complications, although the occurrence of ophthalmic signs and symptoms is uncommon. Neovascular glaucoma (NG), a rare complication associated with diabetes mellitus, is one such condition. Additionally, anti-vascular endothelial growth factor (VEGF)-induced toxic anterior segment syndrome (TASS) is a rare complication of intravitreal bevacizumab.

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 years were included. Point-biserial correlation/Pearson Chi-Square correlations were conducted between RLS and risk factors.