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Neutrosophic Sets and Systems

Abstract

This research was undertaken to determine the relative effectiveness of probiotics on insulin resistance in women with polycystic ovary syndrome (PCOS) via neutrosophic Plithogenic statistics to gauge treatment effectiveness. This is based upon three considerations—truth (clinical improvement), indeterminacy (possible effectiveness), and falsity (ineffectiveness)—for the end goal of determining how probiotics change gut microbiota to change metabolic factors associated with this endocrine disorder. Neutrosophic Plithogenic statistics were applied to analyze heterogeneous data to present the effective, uncertain, and ineffective values in correspondence to clinical findings such as insulin assessments, HOMA-IR index, and inflammatory markers. The major results found were that probiotic, particularly strains of Lactobacillus and Bifidobacterium, could increase insulin sensitivity with relativistic findings based upon dose, duration of treatment, or compliance. Even some of the control groups who had no differences had good findings, as many showed non-compliance or poorly homogenous populations. Ultimately, the conclusion was that probiotics are a viable treatment option for women with PCOS to reduce insulin resistance by restoring the gut microbiota. Neutrosophic Plithogenic statistics gave a broad overview that took uncertainty into account with the intention that further studies focusing on singular facets may be more effective for clinical application.

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