Back

Research on female breast and gynaecologic cancers in the Democratic Republic of Congo: a scoping review

Kalay, A. L.; Madiata, E.; Lebwaze, B.; Donzo, M.; Botomwito, J.; Tshiabo, D.; Ntambwe, M. L.

2024-11-15 public and global health
10.1101/2024.11.15.24317400 medRxiv
Show abstract

BackgroundIn the last decades, the incidence of female breast and gynecologic cancers has been increasing in sub-Saharan African countries including in the Democratic Republic of the Congo (DRC). Although DRC has taken some steps in addressing cancer issues, cancer control is not yet efficiently organized. The DRC national strategy for the fight against cervical and female breast cancers stresses that research conducted on female breast and cervical cancers in DRC is not leveraged to support the Ministry of Health. There is a clear and urgent need to identify the type and extend of research conducted in DRC about female breast cancer and cervical cancers to inform the operational cancer research agenda in DRC. Thus, the purpose of this scoping review is to describe current research and identify research gaps related to research on female breast and gynaecologic cancers in DRC MethodsA scoping review was conducted through search of several electronic databases. We included peer-reviewed articles and grey literature resources reporting primary or secondary studies about female breast cancer or gynaecologic cancers in DRC. ResultsA total of 448 articles were retrieved. After screening, 32 articles were retained for review. Twenty-one articles pertained to cervical cancer, 12 to female breast cancer and 2 to vulva cancer. Five articles focused on several cancer types. There was no article retrieved for the other gynaecologic cancers (uterine, Fallopian tube and ovarian cancers). Most of the studies (60%) used a cross-sectional design. The studies were conducted in six provinces. ConclusionThis scoping review has demonstrated significant gaps in female breast and gynaecologic cancer research in DRC. The reviews findings support the need for further research in all areas of the continuum of cancer care, the establishment of a clear and adapted research agenda, advocacy and providers capacity development.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.