Real-world data studies in oncology: analysis of the Russian publications
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...
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| Format: | Article |
| Language: | Russian |
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Publishing House OKI
2024-04-01
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| Series: | Реальная клиническая практика: данные и доказательства |
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| Online Access: | https://www.myrwd.ru/jour/article/view/64 |
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| author | V. F. Achikyan A. A. Kurylev A. S. Kolbin |
| author_facet | V. F. Achikyan A. A. Kurylev A. S. Kolbin |
| author_sort | V. F. Achikyan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-01eef3e28f1e4af99f1e94229c3cdb0d |
| institution | Matheson Library |
| issn | 2782-3784 |
| language | Russian |
| publishDate | 2024-04-01 |
| publisher | Publishing House OKI |
| record_format | Article |
| series | Реальная клиническая практика: данные и доказательства |
| spelling | doaj-art-01eef3e28f1e4af99f1e94229c3cdb0d2025-08-03T13:00:11ZrusPublishing House OKIРеальная клиническая практика: данные и доказательства2782-37842024-04-0141456510.37489/2782-3784-myrwd-5054Real-world data studies in oncology: analysis of the Russian publicationsV. F. Achikyan0A. A. Kurylev1A. S. Kolbin2First St. Petersburg State Medical University named after Academician I. P. PavlovFirst St. Petersburg State Medical University named after Academician I. P. Pavlov; National Medical Research Center of Oncology named after N. N. PetrovFirst St. Petersburg State Medical University named after Academician I. P. Pavlov; St. Petersburg State UniversityBackground. 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.https://www.myrwd.ru/jour/article/view/64real-world evidenceoncologymalignant tumors |
| spellingShingle | V. F. Achikyan A. A. Kurylev A. S. Kolbin Real-world data studies in oncology: analysis of the Russian publications Реальная клиническая практика: данные и доказательства real-world evidence oncology malignant tumors |
| title | Real-world data studies in oncology: analysis of the Russian publications |
| title_full | Real-world data studies in oncology: analysis of the Russian publications |
| title_fullStr | Real-world data studies in oncology: analysis of the Russian publications |
| title_full_unstemmed | Real-world data studies in oncology: analysis of the Russian publications |
| title_short | Real-world data studies in oncology: analysis of the Russian publications |
| title_sort | real world data studies in oncology analysis of the russian publications |
| topic | real-world evidence oncology malignant tumors |
| url | https://www.myrwd.ru/jour/article/view/64 |
| work_keys_str_mv | AT vfachikyan realworlddatastudiesinoncologyanalysisoftherussianpublications AT aakurylev realworlddatastudiesinoncologyanalysisoftherussianpublications AT askolbin realworlddatastudiesinoncologyanalysisoftherussianpublications |