ArticlePakistan journal of medical sciences2025
Does lymphadenectomy predict survival in early-stage epithelial ovarian cancer? An updated systematic review and meta-analysis.
Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- The role of Lymphadenectomy in early-stage mucinous Ovarian Cancer.Pakistan journal of medical sciences · 2025Article
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Authors and funding
2 authors.
Funding
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Abstract
Background & Objective: The added value of lymphadenectomy is a widely debated topic, especially in cases of early-stage epithelial ovarian cancer (EOC). We present robust evidence through an updated systematic review and meta-analysis regarding the effects of lymphadenectomy on overall survival (OS) and progression-free survival (PFS) in early-stage EOC (eEOC). Methods: PubMed, PubMed CENTRAL, Embase, and Web of Science databases were searched from their inception until 10 March 2025 for all types of studies reporting adjusted outcomes of eEOC based on lymphadenectomy. Random-effect meta-analysis, subgroup analysis, and meta-regression were conducted. Results: Twenty-four studies were included. The number of studies was far more than previously published reviews (4-8 studies). Meta-analysis of 20 and 13 studies showed that patients undergoing lymphadenectomy had significantly better OS (HR: 0.808 95% CI: 0.692, 0.943 I Conclusions: Lymphadenectomy in eEOC may lead to better OS and PFS. The retrospective nature of the data and the heterogeneity among studies are significant limitations that warrant caution in interpretation of the results.
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