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Cited by 873

The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.

Treatment of epithelial ovarian cancer

Open access
Kuroki, Lindsay, Guntupalli, Saketh R·2020·BMJ

Abstract

Ovarian cancer is the third most common gynecologic malignancy worldwide but accounts for the highest mortality rate among these cancers. A stepwise approach to assessment, diagnosis, and treatment is vital to appropriate management of this disease process. An integrated approach with gynecologic oncologists as well as medical oncologists, pathologists, and radiologists is of paramount importance to improving outcomes. Surgical cytoreduction to R0 is the mainstay of treatment, followed by adjuvant chemotherapy. Genetic testing for gene mutations that affect treatment is the standard of care for all women with epithelial ovarian cancer. Nearly all women will have a recurrence, and the treatment of recurrent ovarian cancer continues to be nuanced and requires extensive review of up to date modalities that balance efficacy with the patient’s quality of life. Maintenance therapy with poly ADP-ribose polymerase inhibitors, bevacizumab, and/or drugs targeting homologous recombination deficiency is becoming more widely used in the treatment of ovarian cancer, and the advancement of immunotherapy is further revolutionizing treatment targets.

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Crossref · 10.1136/bmj.m3773

Cites

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Metadata

Authors
Kuroki, L., & Guntupalli, S. R.
Venue
BMJ
Publisher
BMJ
Published
2020-11-09
Volume
371
Pages
m3773
ISSN
1756-1833 (ISSN-L)
OpenAlex
W3099043519
Cited by
873
References
117
FWCI
73.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Treatment of epithelial ovarian cancer. https://app.cochat.ai/papers/10.1136/bmj.m3773
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Kuroki, L., & Guntupalli, S. R. (2020). Treatment of epithelial ovarian cancer. BMJ. https://doi.org/10.1136/bmj.m3773

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.