PET/MRI is useful for early detection of pelvic insufficiency fractures after radiotherapy for cervical cancer

Cervical cancer is one of the leading causes of morbidity and mortality globally and in Sub-Saharan Africa in particular. There is evidence that early detection and early management of cases are the best strategies to prevent and control this health threat, since treatment of the later stages of the diseases are very expensive. The objectives of the review were: (1) to identify and review studies on the prevalence of cervical cancer and determinants of early detection in Sub-Saharan Africa, and (2) to recommend further studies and interventions based on the findings of this review. Extensive literature search was conducted using the MeSH terms. Articles on cervical cancer and/or determinants of early detection which fulfilled inclusion criteria were reviewed independently by three reviewers. The prevalence of cervical cancer in Sub-Saharan Africa is increasing. Although there are evidences that cervical cancer screening programs are practical and feasible even in resource-limited settings in Sub-Saharan Africa, there is a very low uptake of cervical cancer screening and there are key factors that need to be addressed in order to make these programs established and effective.

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Recall-based Machine Learning approach for early detection of Cervical Cancer

2021 6th International Conference for Convergence in Technology (I2CT) ◽

10.1109/i2ct51068.2021.9418099 ◽

2021 ◽

Author(s):

Apoorva Gupta ◽

Ashutosh Anand ◽

Yasha Hasija

Keyword(s):

Machine Learning ◽

Cervical Cancer ◽

Early Detection ◽

Learning Approach ◽

Machine Learning Approach

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Breast and cervical cancers diagnosed and stage at diagnosis among women served through the National Breast and Cervical Cancer Early Detection Program

Cancer Causes & Control ◽

10.1007/s10552-015-0543-2 ◽

2015 ◽

Vol 26 (5) ◽

pp. 741-747 ◽

Cited By ~ 21

Author(s):

Jacqueline W. Miller ◽

Janet Royalty ◽

Jane Henley ◽

Arica White ◽

Lisa C. Richardson

Keyword(s):

Cervical Cancer ◽

Early Detection ◽

Stage At Diagnosis ◽

Cervical Cancers ◽

Cancer Early Detection ◽

Breast And Cervical Cancer ◽

National Breast ◽

Detection Program ◽

Early Detection Program

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The Impact of Performance-Based Grants Management on Performance: The Centers for Disease Control and Prevention’s National Breast and Cervical Cancer Early Detection Program

The American Review of Public Administration ◽

10.1177/0275074016685804 ◽

2017 ◽

Vol 48 (5) ◽

pp. 444-457 ◽

Cited By ~ 2

Author(s):

Theodore H. Poister ◽

Obed Pasha ◽

Amy DeGroff ◽

Janet Royalty

Keyword(s):

Cervical Cancer ◽

Early Detection ◽

Disease Control ◽

Performance Management ◽

Management Process ◽

Cancer Early Detection ◽

Breast And Cervical Cancer ◽

National Breast ◽

Detection Program ◽

Early Detection Program

Performance-based grants management is a strategy used by public agencies to improve performance and strengthen accountability by connecting annual award amounts to performance information. This study evaluates the impacts of a performance-based grants management process implemented by the U.S. Centers for Disease Control and Prevention to strengthen the effectiveness of its National Breast and Cervical Cancer Early Detection Program. The study uses panel data and interrupted time-series analysis over 10 years for 51 grantees. Results show partial and conditional effectiveness of the performance-based grants management process in strengthening performance. In particular, the implementation of the performance-based grants management system consistently improved the performance of those grantees for whom the targets were challenging. While prior research has found, in some cases, evidence of a positive impact of performance management practices in improving programs delivered directly by public organizations at the local level, this study examines the performance management–performance relationship in a more challenging context of a federal grants program delivered through a highly decentralized system.

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