Evidence map›Paper›PMID 39219878›Full record

ArticleCureus2024

Prognostic Factors in Uterine Sarcoma Based on the Tumor Size Stratification: A Retrospective Study.

Fumio Asano, Tohru Morisada, Mai Momomura, Hiromi Shibuya, Hironori Matsumoto, Yoichi Kobayashi

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fumio AsanoDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.
Tohru MorisadaDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.
Mai MomomuraDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.
Hiromi ShibuyaDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.
Hironori MatsumotoDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.
Yoichi KobayashiDepartment of Obstetrics and Gynecology, Kyorin University School of Medicine, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUterine sarcoma is a rare malignant gynecological tumor with a poor prognosis. Many studies have identified the clinical stage as an important prognostic factor; however, the heterogeneity of patient distribution in the International Federation of Gynecology and Obstetrics (FIGO) stage has reportedly required further revision. Therefore, this study retrospectively investigated the factors related to the prognosis of uterine sarcoma, with particular attention to tumor size, which can be evaluated preoperatively.

methodsClinical data were extracted from the medical records of patients with uterine sarcoma treated between January 2010 and January 2023. Kaplan-Meier survival curves were plotted according to clinical factors such as histological type, clinical stage, chemotherapy, and tumor size. Factors that were significant in the univariate analysis were subjected to the multivariate analysis using Cox proportional hazards regression.

resultsThirty-four patients with uterine sarcoma, comprising 24 (70.5%), five (14.7%), three (8.8%), and two (5.9%) with leiomyosarcoma, undifferentiated sarcoma, high-grade endometrial stromal sarcoma, and low-grade endometrial stromal sarcoma, respectively, were included. Based on the FIGO stage, 15 (44.1%), six (17.6%), three (8.8%), and 10 patients had stage I, II, III, and IV disease, respectively, at the time of diagnosis. All patients underwent surgery as initial treatment; 15 received postoperative chemotherapy. Among the 32 patients with uterine leiomyosarcoma, undifferentiated sarcoma, or high-grade endometrial stromal sarcoma, overall survival differed significantly in the univariate analysis based on disease stage (I + II vs. III + IV) and tumor size (≤10 vs. >10 cm). However, only tumor size was an independent prognostic factor in the multivariate analysis.

conclusionTumor size (≤10 vs. >10 cm) may possibly have a prognostic impact on uterine sarcoma.

Indexed as

chemotherapyprognosissarcomatumoruterus

Identifiers

PMID39219878
PMCPMC11362873

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