Introduction: The availability of optimum diagnostic strategies remains a major problem in resource-constraint countries. This technique of patient-initiated follow-up (PIFU) has been recently adopted in the UK for gynecological cancers and has proven cost benefits. However, no study from the Indian subcontinent has ever been reported.
Aims And Objectives: The primary objective was to study the pattern of care of recurrent cervical cancer in low-resource settings. The secondary objective was to compare the reliability of symptomatology/clinical evaluation and imaging methods on follow-up to detect recurrence and thus explore the feasibility of symptom-based PIFU.
Materials And Methods: This was a single-institutional retrospective analysis of recurrent cervical cancer cases for a period of 3 years from January 2019 to January 2022. Patients who followed up for minimum of 6 months were included in the study.
Results: In 57 of the total 69 patients, symptoms alone were the index diagnostic method. Interestingly, neither of the methods of recurrence detection had impact on overall survival (OS). Cox regression analysis revealed adverse impact of erratic/lost to follow-up (hazard ratio [HR] = 3.8) and pelvic side wall disease (HR = 1.33) on survival. Patients with positive para-aortic nodes had significantly shorter disease-free interval of 11 months, so adding systemic therapy to adjuvant treatment in this cohort needs to be further investigated.
Conclusion: Our analysis showed that patients with recurrence who were diagnosed with clinical manifestations alone vis-à-vis the ones who were diagnosed primarily on routine follow-up visit by some imaging or diagnostic test had comparable oncologic outcomes. PIFU can be a "practice changing modality" in patient management system, especially in low-resource settings. It will prove to be a simple cost-effective method to detect recurrence and prevent fallouts. Our study points to the feasibility of PIFU in Indian scenario.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10836429 | PMC |
http://dx.doi.org/10.4103/jmh.jmh_103_23 | DOI Listing |
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