Cancer screening at the level of state programs: review, recommendations and management

Барчук, Антон; Raskina, Yu. V.; Smirnova, O. V.; Belyaev, Aleksey; Bagnenko, S. F.

doi:10.21045/2782-1676-2021-1-1-19-31

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…8. Реализация программы мероприятий для совершенствования профессиональных знаний и компетенций врачей первичного звена, необходимых для осуществления скрининга и ранней диагностики онкологических заболеваний 9 .…”

Section: Discussionunclassified

“…Отдельное внимание должно уделяться осмотру кожных покровов и ранней диагностики злокачественных новообразований кожи. При осмотре граждан, пришедших на диспансеризацию, обращало на себя внимание наличие у них меланоформных образований кожи, часть из которых располагались в зонах постоянной травматизации и были пограничными или подозрительными на меланому при дерматоскопии 7 [9]. 9.…”

Section: Discussionunclassified

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Ways to optimize preventive measures in areas remote from the regional center

Bulavko,

Timofeev,

Isakov

et al. 2023

Cardiovasc Ther Prev

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Aim. To identify problems in the management of preventive examinations in remote areas, using the example of the Khvoininsky district of the Novgorod Oblast and ways to improve it. The article reveals the problems of managing preventive measures in the regions of the Russian Federation, remote from the regional center.Material and methods. Observations and experience of preventive measures carried out by the staff of St. Petersburg State Pediatric Medical University within the "University — Region" project, data from electronic medical records of 178 patients were used.Results. A high proportion of loss to follow-up was noted — 99 out of 278 (36%). The bulk was patients over 40 years old, who were assigned to health group IIIa. The difficulty of conducting medical examinations in a sparsely populated area is associated with insufficient awareness of the population, combined with low interest, a shortage of specialists, untimely necessary studies, a significant bureaucratic work, unstable Internet connection, and insufficient cancer awareness among medical workers.Conclusion. Expanding the promotion and information component of preventive measures, increasing patient focus, combining the first and second stages of clinical examination into one with subsequent convenient routing of patients, introducing telemedicine technologies and portable diagnostic complexes, improving the professional knowledge and competencies of primary care physicians — all these activities are aimed at improving coverage of population, increasing the adherence of patients with effective medical follow-up.

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Section: Discussionunclassified

Ways to optimize preventive measures in areas remote from the regional center

Bulavko,

Timofeev,

Isakov

et al. 2023

Cardiovasc Ther Prev

View full text Add to dashboard Cite

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Efficiency of Screening and Early Diagnosis of Malignant Neoplasms: Economic Aspect

Nemkevich.

2023

Экономическая Наука Сегодня

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The article is devoted to the study of the economic aspects of screening and early diagnosis of malignant neoplasms. The differences between such elements of the fight against oncological diseases as screening and early cancer diagnosis are analyzed, and socio-economic criteria for evaluating the program of oncological diagnosis of patients are determined by a number of factors, including: costs of outpatient and inpatient treatment, losses from mortali-ty of the population, costs of equipment, personnel and information technology. It is established that in order to compare the cost-effectiveness of screening and early diagnosis of malignant neoplasms, it is necessary to compare the costs of conducting these types of diagnostics with the costs of treating cancers at the initial stage, as well as with possible social losses that the choice in favor of early cancer diagnosis may lead to.

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Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region.

Panin,

Suvorov,

Zubkov

et al. 2024

Sib. onkol. ž.

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Objective. Determination of the optimal machine learning model for the creation of software for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region. Material and Methods. The clinical material was based on 1254 patients who were examined in the centralized laboratory of the Volgograd Consultative and Diagnostic Polyclinic No. 2. Of these, 139 were subsequently operated on at the Volgograd Regional Clinical Oncology Dispensary for pancreatic malignancies. In 65 (46.7 %) cases, distal pancreatic resection was performed, and in 74 (53.3 %) cases, pancreaticoduodenectomy was performed. In 28 (20.1 %) cases, at the time of tumor detection, patients did not have clinical symptoms. Statistical processing of the data was carried out using the Python programming language. Five different classifiers were used for machine learning. Results. In the course of factor analysis, 11 parameters were selected from 62 laboratory blood parameters, the dynamics of changes in which should be specifically assessed at the stages of screening and early diagnosis of pancreatic neoplasms. A comparative assessment of machine learning techniques showed that the best option for creating the appropriate software was Hist Gradient Boosting (diagnostic accuracy 0.909, sensitivity 0.642, specificity 0.965, negative predictability 0.928, positive predictability 0.794, F1 0.828, logistic regression loss function 0.352, area under the ROC curve 0.89). Conclusion. The creation of software based on the selected algorithm will make it possible to clarify the real effectiveness of machine learning on a larger population of patients with pancreatic neoplasms.

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Cancer screening at the level of state programs: review, recommendations and management

Cited by 4 publications

References 34 publications

Ways to optimize preventive measures in areas remote from the regional center

Ways to optimize preventive measures in areas remote from the regional center

Efficiency of Screening and Early Diagnosis of Malignant Neoplasms: Economic Aspect

Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region.

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