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Introduction: This commentary illustrates a global patient-centered learning ecosystem, anchored in Narketpally, that adopts a syndromic approach to medical education and research. Rooted in the etymological origins of 'syndrome' ("together we flow"), this approach reframes medical research as a collective, contextual response to individual patient needs.
Methods: The structure of the paper is intentionally modeled as a team-based learning exercise, grounded in our prior Web 2.0-based cognitive tools: CBBLE (Case-Based Blended Learning Ecosystem) and PaJR (Patient Journey Record). These are framed against the conceptual scaffolding provided by three key publications: a framework by Sturmberg et al. and two contrasting commentaries by Greenhalgh and Ioannidis.
Results: Through our ongoing CBBLE-PaJR workflow, thematic learning outcomes emerged in response to these frameworks. Sturmberg's stratified realism helped us recognize how individual patient connections, recorded in our daily practice and online learning portfolios, can drive both contextual learning and meaningful changes in patient outcomes. Greenhalgh's commentary inspired our conceptualization of a 'wildebeest river crossing value model,' contrasting population-based efficiency with individual-centered compassion. Ioannidis's critique of methodological rigor highlighted the potential for expanding low-resource, high-impact research through patient-centered designs, particularly in phases 1 and 4 of the clinical trial hierarchy.
Conclusion: Narketpally Syndrome represents more than a metaphor; it signifies a real, evolving ecosystem of knowledge, reflection, and practice. It suggests that research must be reimagined as a river of collective cognition, flowing across diverse clinical contexts, with each patient seen as a site of inquiry. Such an approach enables the integration of contextual values into real-life patient pathways. In contrast to the dominant forest-canopy model of population medicine, this framework emphasizes the importance of focusing on the roots of each patient that form the ecosystem of patient-centered care.
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http://dx.doi.org/10.1111/jep.70186 | DOI Listing |
World J Methodol
December 2025
Department of Periodontics, Kamineni Institute of Dental Sciences, Narketpally 508254, Telangana, India.
Background: Artificial intelligence (AI) is transforming healthcare by improving diagnostic accuracy and predictive analytics. Periodontal diseases are recognized as risk factors for systemic conditions, including type 2 diabetes mellitus, cardiovascular disease, Alzheimer's disease, polycystic ovary syndrome, thyroid dysfunction, and post-coronavirus disease 2019 complications. These conditions exhibit complex bidirectional interactions, underscoring the importance of early detection and risk stratification.
View Article and Find Full Text PDFJ Eval Clin Pract
August 2025
Department of General Medicine, Institute of Medical Sciences, Narketpally, India.
Introduction: This commentary illustrates a global patient-centered learning ecosystem, anchored in Narketpally, that adopts a syndromic approach to medical education and research. Rooted in the etymological origins of 'syndrome' ("together we flow"), this approach reframes medical research as a collective, contextual response to individual patient needs.
Methods: The structure of the paper is intentionally modeled as a team-based learning exercise, grounded in our prior Web 2.
Ann Afr Med
June 2025
Department of Internal Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide with a substantial economic burden. It is driven by the intricate pathophysiology of insulin resistance (IR), which has been shown to disrupt glucose and lipid metabolism, vascular function, and drive inflammatory pathways, further accelerating the development and progression of CVD. The triglyceride-glucose (TyG) index, which was first proposed in 2008, has demonstrated strong correlations with the more traditional markers reserved for research settings, namely the hyperglycemic-euglycemic clamp and the homeostatic model assessment of IR.
View Article and Find Full Text PDFCardiol Rev
May 2025
Department of Internal Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA.
Cardiovascular diseases are the leading cause of mortality worldwide, with postcardiac events such as myocardial infarction, acute coronary syndrome, and sudden cardiac arrest causing significant physiological trauma and psychological effects. This study explores the complex interplay between cardiac events and mental health disorders, focusing on the biological and psychological pathways that connect these conditions in at-risk populations. The acute stress response following a cardiac event involves the activation of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis, leading to the release of stress hormones and inflammatory cytokines.
View Article and Find Full Text PDFCureus
March 2025
Department of Orthopaedics, Kamineni Institute of Medical Sciences, Narketpally, IND.
Tardy ulnar nerve palsy (TUNP) is a progressive neuropathy commonly associated with cubitus valgus deformity following lateral humeral condyle nonunion. However, concurrent ulnar nerve schwannoma as a contributing factor remains undocumented. We present a rare case in which both chronic traction neuropathy and intraneural compression coexisted, with the schwannoma remaining undetected on high-resolution ultrasound (HRUS) preoperatively.
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