[[Redefining the Initial Endoscopy Evaluation of Esophageal Symptoms: Toward a PrecisionBased Diagnostic Paradigm]].

Esophageal symptoms -including dysphagia, heartburn, regurgitation, and non-cardiogenic chest pain- are among the most common indications for referral to gastroenterology. Despite their high prevalence, establishing a definitive etiological diagnosis remains a significant clinical challenge due to the marked overlap in symptom profiles between gastroesophageal reflux disease, eosinophilic esophagitis, esophageal motility disorders, and disorders of gut-brain interaction. Current diagnostic paradigms are generally based on sequential testing strategies that often begin with empirical treatment with proton pump inhibitor followed by endoscopy and, when this is inconclusive, catheter-based esophageal functional studies. This approach is associated with prolonged diagnostic times, incomplete studies due to poor tolerance, delays in access to specialized centers, a substantial increase in healthcare costs. Recent advances in endoscopic and physiologic technologies offer the opportunity to fundamentally reframe the evaluation of esophageal symptoms. The integration of endoscopic risk stratification tools, such as the Clinical Achalasia Risk Score, Functional Lumen Imaging Probe panometry, and wireless pH monitoring, enables a comprehensive physiologic evaluation during the index endoscopy under sedation, optimizing the diagnostic performance of the procedure. This strategy has the potential to significantly reduce diagnostic uncertainty, shorten the time to definitive diagnosis, and decrease reliance on poorly tolerated catheter studies. This review synthesizes the emerging evidence supporting a diagnostic paradigm centered on index endoscopy as a central and integrative diagnostic event. The limitations of traditional diagnostic methods are analyzed and the physiological principles and clinical utility of planimetry using Functional Lumen Imaging Probe and wireless reflux monitoring are reviewed. A practical algorithm integrating these tools is proposed, with the aim of providing accurate and efficient care, aimed at improving diagnostic performance and therapeutic decision-making in patients with esophageal symptoms. Given that the available evidence is still emerging and concentrated in centers with experience, the proposed algorithm should be interpreted as a pragmatic framework for optimizing the diagnostic sequence, subject to prospective validation and adaptation to the local context.