Prognostic Factors of Diabetes Type 1 using Patients Historical Data in Primary Health Care Settings

Abstract

Introduction: Diabetes Type 1 affects approximately 5-10% of all individuals with diabetes, making it a substantial health concern for millions worldwide. This systematic review aims to comprehensively analyze the prognostic factors associated with Diabetes Type 1 using historical patient data collected from primary health care settings, where approximately 80-90% of diabetes cases are managed.

Methods: In this systematic review, a comprehensive search strategy was meticulously employed, encompassing databases like PubMed, Embase, Web of Science, and Cochrane Library to identify articles on Diabetes Type 1 and its prognostic factors. A combination of medical subject headings and keywords was used, covering population, exposure, primary health care setting, and outcomes. Boolean operators were utilized to refine the search, with initial screening of titles and abstracts conducted to identify eligible studies. Two independent reviewers assessed these articles, following predefined inclusion and exclusion criteria, and discrepancies were resolved through discussion or a third reviewer's input. Data extraction was standardized, encompassing study and patient characteristics, prognostic factors, outcomes, and results. The data synthesis employed a narrative approach, categorizing prognostic factors and assessing the strength of the evidence.

Results: Our systematic review rigorously examined six diverse studies that shed light on prognostic factors for Diabetes Type 1 within primary health care settings. These studies showcased an intriguing range of participants, including children, adults from various socioeconomic backgrounds, the elderly, and pregnant women with pre-existing Diabetes Type 1. These varying populations allowed us to explore how prognostic factors impact different age groups and special populations. The exposures under investigation encompassed a fascinating array of odd-numbered variables, including genetic markers, lifestyle choices, and socioeconomic factors. The interplay of these factors offered a multifaceted understanding of Diabetes Type 1 prognosis.

Conclusions: The findings are in agreement with a substantial portion of the existing literature, emphasizing the multifaceted nature of Diabetes Type 1 prognosis in primary health care. Recognizing the diverse populations, exposures, and outcomes allows for the development of tailored strategies by healthcare providers and policymakers, aligning with the holistic approach recommended in the literature to enhance the well-being of individuals with Diabetes Type 1 and alleviate its burden.