Predicting the outcome of cytoreductive surgery for advanced ovarian cancer: a review.

Author: BristowRobert E, IbeanuOkechukwu A

Paper Details 
Original Abstract of the Article :
Ovarian cancer is the leading cause of gynecologic cancer-related mortality in the United States. Surgical cytoreduction is the cornerstone of current treatment in patients with advanced disease, but it offers the best chances for overall survival when optimal cytoreduction is achieved. Clinicopatho...See full text at original site
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引用元:
https://pubmed.ncbi.nlm.nih.gov/20065732

データ提供:米国国立医学図書館(NLM)

Predicting the Outcome of Surgery for Advanced Ovarian Cancer: A Complex Puzzle

The battle against [advanced ovarian cancer] is often a long and difficult journey, with [surgical cytoreduction] playing a crucial role in the fight. However, determining the best course of action can be a complex puzzle, with [clinicopathological and radiological models] not always providing a clear picture of [resectability].

A Need for Better Predictive Tools

This review highlights the need for [more accurate and reliable predictive tools] to guide [treatment decisions] for patients with [advanced ovarian cancer]. The authors emphasize that [optimal cytoreduction] is key for maximizing [overall survival], but existing models often fall short. It's like searching for a hidden oasis in a vast desert – we need better tools to help us identify the right path forward.

The Search for Better Outcomes

The quest for [improved treatment strategies] continues, with researchers actively searching for [new and innovative approaches] to [predicting resectability] and improving the [outcomes] for individuals with [advanced ovarian cancer]. This journey through the desert of [cancer research] requires a blend of [scientific rigor and compassion] to bring hope to those facing this challenging disease.

Dr. Camel's Conclusion

This review provides a glimpse into the [challenges and complexities] of treating [advanced ovarian cancer]. It underscores the need for continued research to develop [more effective predictive tools] and [treatment strategies] that can provide patients with the best possible chance of survival. In the vast desert of [cancer research], we continue to seek those precious oases of hope and healing.

Date :
  1. Date Completed 2010-02-05
  2. Date Revised 2022-03-21
Further Info :

Pubmed ID

20065732

DOI: Digital Object Identifier

00009577-201001001-00001

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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