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Analysis of the current state of the problem of treating early stages of cervical cancer as a basis for creating a research database

Authors: Ye.B. Radzishevska; О.М. Sukhina; L.Ya. Vasylyev; V.S. Sukhin; K.V. Nemaltsova; Yа.K. Radzishevska;

Analysis of the current state of the problem of treating early stages of cervical cancer as a basis for creating a research database

Abstract

Background. The stress factor against the backdrop of active military actions leads to a rapid increase in oncological pathologies, particularly the incidence of cervical cancer. Delayed seeking of medical assistance worsens the prognosis for recurrence-free survival, especially among young women. The application of modern information technologies to large sets of follow-up data from patients with early-stage cervical cancer enables the identification of correlations between oncological treatment outcomes (recurrence, metastases, secondary cancers) and treatment toxicity with patientsʼ clinical and biological characteristics and treatment specifics with minimal human resource involvement. The identified correlations will allow the development of proposals to adjust antitumor therapy amid the forced intensification of the treatment process, ensuring individualized patient support during the post-war recovery of the country. Purpose – To conduct a scientific analysis of existing approaches to the treatment of early-stage cervical cancer with the aim of creating a necessary foundation for the development of an infological model of a scientific research database for the further justification of individualized chemoradiotherapy. Materials and Methods. In-depth analysis of full-text scientific publications available in the modern information space over the past decade. Results. The authors conducted a thorough analysis of contemporary literature on assessing the effectiveness of treatment for patients with early-stage cervical cancer and identified a set of potential prognostic factors related to the disease, the patient, and the treatment. Disease-related factors include the histological type of the tumor, tumor size, stage, parametrial involvement, prognostic nutritional index, lymphovascular space invasion, and lymph node status. Patient-related factors include overall treatment duration, nutritional status, clinical characteristics, comorbidities, and age. Treatment-related factors encompass additional chemotherapy, external beam radiation therapy, brachytherapy, and the evaluated quality of radiation therapy delivered. The analysis revealed which parameters, factors, and critical nuances of the disease and treatment strategy must be considered to ensure successful treatment outcomes and to predict patient survival. Conclusions. The analysis of contemporary scientific information sources has made it possible to systematize current advancements in the field of early-stage cervical cancer treatment and to define a set of parameters for the infological model of a research database. This serves as a foundation for conducting a scientific study aimed at substantiating a program for the individualization of chemoradiotherapy and post-treatment monitoring of patients.

Keywords

стратегія лікування, Early-stage cervical cancer, treatment strategy, прогностичні параметри, prognostic parameters, рак шийки матки початкових стадій

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold
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Cancer Research