TY - JOUR

T1 - Исследования реальной клинической практики в онкологии: анализ российских публикаций

AU - Колбин, Алексей Сергеевич

AU - Ачикян, В. Ф.

AU - Курылев , Алексей Александрович

PY - 2024/3/30

Y1 - 2024/3/30

N2 - Background. Real-world data studies are an important source of knowledge on malignant tumors and their treatment. This knowledge is a tool for making decisions by health care professionals and patients. Regarding this, authors conducted literature search to identify real-world data studies published in the Russian scientific journals. Objective. The study aim was finding and analyzing publications on real-world evidence studies in oncology therapeutic area. Materials and methods. Full-text articles published in the Russian peer-reviewed medical scientific journals of 2022 and 2023 were systematically relieved and analyzed. Results. 119 publications were selected. The following types of study data were identified: 1) data on patients management practice; 2) survival and other oncology outcomes regardless of treatment approach; 3) survival and other oncology outcomes depending on treatment approach; 4) efficacy of a concrete therapy; 5) treatment safety (toxicity) data; 6) clinical and demographic prognostic factors; 7) tumor (morphological, molecular and genetic) prognostic factors; 8) tumor characteristics (morphological, molecular and genetic) regardless of their prognostic significance; 9) oncology disease characteristic (e. g., comorbidities) regardless of its prognostic significance. The most common types of study data were the following: clinical and demographic prognostic factors — 24 studies; tumor (morphological, molecular and genetic) prognostic factors — 36 studies; tumor characteristics (morphological, molecular and genetic) regardless of their prognostic significance — 38 studies. Conclusion. The modern real-world data studies in oncology therapeutic area are a very important source of knowledge on malignant tumors and their treatment.

AB - Background. Real-world data studies are an important source of knowledge on malignant tumors and their treatment. This knowledge is a tool for making decisions by health care professionals and patients. Regarding this, authors conducted literature search to identify real-world data studies published in the Russian scientific journals. Objective. The study aim was finding and analyzing publications on real-world evidence studies in oncology therapeutic area. Materials and methods. Full-text articles published in the Russian peer-reviewed medical scientific journals of 2022 and 2023 were systematically relieved and analyzed. Results. 119 publications were selected. The following types of study data were identified: 1) data on patients management practice; 2) survival and other oncology outcomes regardless of treatment approach; 3) survival and other oncology outcomes depending on treatment approach; 4) efficacy of a concrete therapy; 5) treatment safety (toxicity) data; 6) clinical and demographic prognostic factors; 7) tumor (morphological, molecular and genetic) prognostic factors; 8) tumor characteristics (morphological, molecular and genetic) regardless of their prognostic significance; 9) oncology disease characteristic (e. g., comorbidities) regardless of its prognostic significance. The most common types of study data were the following: clinical and demographic prognostic factors — 24 studies; tumor (morphological, molecular and genetic) prognostic factors — 36 studies; tumor characteristics (morphological, molecular and genetic) regardless of their prognostic significance — 38 studies. Conclusion. The modern real-world data studies in oncology therapeutic area are a very important source of knowledge on malignant tumors and their treatment.

UR - https://www.mendeley.com/catalogue/2eededb8-7499-3884-971f-54fd60f85b52/

U2 - 10.37489/2782-3784-myrwd-50

DO - 10.37489/2782-3784-myrwd-50

M3 - статья

VL - 4

SP - 45

EP - 65

JO - Реальная клиническая практика: данные и доказательства

JF - Реальная клиническая практика: данные и доказательства

SN - 2782-3784

IS - 1

ER -