Mohammed Bashir

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis

Alaa Ali Abd-Alrazaq, Shahira Padinharepattel Mohamed, Mohannad Alajlani, Aliya Tabassum et autres

Background: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to half of affected women progressing within a decade. Early identification of high-risk individuals is critical for implementing preventive interventions. Artificial intelligence …

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Inflammatory Bowel Disease and Mental Health: The Complex Relationship Between Gut and Brain

Talal M. Zahid, S. Abdul Wahid, Salman Idrees Bhutta, Mohammed Bashir et autres

BACKGROUND: The study sought to determine the association between IBD severity and mental health impact as measured by anxiety, depression, and QOL in our Pakistani patients. DESIGN AND METHODS: A cross-sectional study was conducted with 400 IBD patients from clinics and community …

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IMPACT OF AI TOOLS AND CHATGPT ON NURSING STUDENTS’ LEARNING OUTCOMES: A STUDY AT CIMS NURSING COLLEGE, CMH MULTAN

Mohammed Bashir

Background ChatGPT and other applications based on Artificial Intelligence (AI) are changing the education industry in the sense that it gives immediate feedback, generates content, and clarifies concepts. Nevertheless, their impact on the academic performance of the nursing students in Pakistan is …

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RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND ACADEMIC SUCCESS AMONG NURSING STUDENTS IN MULTAN, PAKISTAN

Mohammed Bashir

Background: Emotional intelligence (EI) refers to the skill of becoming aware of knowing and controlling emotions whether in oneself or in others. It has been attributed to academic performance, interpersonal effectiveness, stress management and professional competence in nursing. Learning about EI in …

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Treatment Outcome of Primary Malignant Bone Tumors in Two Oncology Centers in Nigeria: A Ten-Year Retrospective Study

Olukemi Alegi, Mohammed Bashir, O.G. Oluyede, Oluwafemi Akinyele Popoola et autres

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Artificial Intelligence in Gestational Diabetes Care: A Systematic Review

Rawan AlSaad, Ali M. Elhenidy, Aliya Tabassum, Nour B. Odeh et autres

BACKGROUND: Artificial intelligence (AI) has emerged as a transformative tool for advancing gestational diabetes mellitus (GDM) care, offering dynamic, data-driven methods for early detection, management, and personalized intervention. OBJECTIVE: This systematic review aims to comprehensively explore and synthesize the use of AI …

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Non-equivalence of Standard and Unified Criteria for Gestational Diabetes Mellitus

Ahmad Hamdan, Amna Zar, Fatima R Alsharif, Mohannad Natheef AbuHaweeleh et autres

Objective: There are two types of criteria for diagnosing gestational diabetes mellitus (GDM). The first is based on measurement of three values on the glucose tolerance test (GTT) and making a diagnosis when any value is abnormal (individual time-point criterion). The second …

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Acute liver disorders in the third trimester— AFLP , HELLP and infectious hepatitis—update on pathology, diagnosis and management

Victor N. Chilaka, Mohammed Bashir, Theodore Ngatchu, Badreldeen Ahmed et autres

Key content The epidemiology and pathophysiology of AFLP, HELLP syndrome and infectious viral hepatitis in late pregnancy. Clinical presentation, diagnosis and management of these conditions. Complications (maternal and fetal) and how these can be managed. The role of a multidisciplinary team in …

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Differential Effects of First and Third Trimester HbA1c Levels on Neonatal Weight and Placental Mediation in Type 1 Diabetes

Mohammed Bashir, Adeel Ahmad Khan, Fateen Ata, Manar E. Abdel‐Rahman et autres

Context: In women with type 1 diabetes (T1D), the effects of glycaemic control on neonatal weight and the role of the placenta are not fully understood. Objective: This study explores the relationship between glycaemic control, neonatal weight, and placental weight. Design: A …

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Management of Prolactinoma during Pregnancy by Physicians from the Middle East and North Africa: A Case-Based Survey

Salem Beshyah, Mussa Almalki, Moeber Mohammed Mahzari, Khalid M. Aldahmani et autres

Abstract The guidelines for managing prolactinomas during pregnancy are primarily based on retrospective evidence or expert opinion. A case-based questionnaire was sent to a convenience sample of endocrinologists (N = 116) and internists (N = 13) in the Middle East (N = …

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Evaluating the Effectiveness of Insulin Plus Oral Medications Versus Oral Anti‐Diabetes Therapy Alone in Patients With Newly Diagnosed Type 2 Diabetes With Very High hbA1c and Acute Coronary Syndrome

Adeel Ahmad Khan, Fateen Ata, Afia Aziz, Aya Janan Qassim et autres

INTRODUCTION: Many patients with Acute Coronary Syndrome (ACS) are newly diagnosed with Type 2 Diabetes Mellitus (T2DM) with very high hbA1c levels (> 10%). Early achievement of glycaemic control is of prime importance in such cases, and many guidelines recommend starting insulin …

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Prevalence, comorbidities and treatment outcomes of patients with Acromegaly in Qatar. Running title: Acromegaly in Qatar

Tarik Abdelkareim Elhadd, Elabbass A Abdel Mahmuod, Zeinab Dabbous, Zaina Seros Rohani et autres

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