Evidence map›Paper›PMID 39614202›Full record

ArticleBMC cancer2024

Detailed analysis of the histology-specific impact of ascites volume on the outcome of epithelial ovarian cancer: a multi-institutional retrospective cohort study.

Shohei Iyoshi, Mariko Kimura, Masato Yoshihara, Atsushi Kunishima, Emiri Miyamoto, Hiroki Fujimoto, Kazuhisa Kitami, Kazumasa Mogi, Kaname Uno, Sho Tano and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

14 authors.

Shohei Iyoshi *Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Mariko Kimura *Department of Obstetrics and Gynecology, Okazaki City Hospital, 3-1 Goshoai, Kouryuji-cho, Okazaki, 444-8553, Japan.
Masato YoshiharaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. myoshihara1209@med.nagoya-u.ac.jp.
Atsushi KunishimaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Emiri MiyamotoDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Hiroki FujimotoDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Kazuhisa KitamiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Kazumasa MogiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Kaname UnoDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Sho TanoDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Nobuhisa YoshikawaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Ryo EmotoDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shigeyuki MatsuiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hiroaki KajiyamaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.

Funding

Japan Society for the Promotion of Science 21KK0157Japan Society for the Promotion of Science 23K19653
6 · The paper itself

Abstract

backgroundThe accumulation of ascites is a major symptom of ovarian cancer. The volume of ascites is a pathophysiological indicator of the peritoneal environment, such as inflammation and fibrosis; however, the relationship between the volume of ascites and oncological outcomes remains unclear. We herein retrospectively examined the effects of the volume of ascites on the prognosis of epithelial ovarian cancer in a multi-institutional large cohort using the stratification of clinical characteristics and statistical adjustment methods.

methodsOf 5,268 patients with ovarian tumors in the Tokai Ovarian Tumor Study Group between 1986 and 2020, we included 1,966 cases of epithelial ovarian cancer and examined the relationship between the volume of ascites at the initial surgery and the prognosis of patients. We performed a multivariate analysis and propensity score weighting for covariate adjustments to precisely estimate the prognostic impact of ascites accumulation. A subgroup analysis was also performed to examine differences in the prognostic implications of ascites accumulation among histotypes.

resultsA reservoir of 100 mL of ascites was confirmed as the cut-off value in our cohort. A Kaplan-Meyer analysis with propensity score adjustments indicated that the accumulation of more than 100 mL of ascites shortened overall survival. The multivariate analysis revealed that the increased accumulation of 100 mL of ascites was an independent prognostic factor for overall survival (HR 1.242; 95% CI 1.050-1.470; P = 0.012). The subgroup analysis showed the prognostic significance of ascites accumulation in mucinous and endometrioid histologies.

conclusionsThe accumulation of even a low to intermediate volume of ascites (≥ 100 mL) was confirmed to be an independent poor prognostic factor in epithelial ovarian cancer. Furthermore, its prognostic impact differed among histotypes.

Indexed as

AscitesCarcinoma, Ovarian EpithelialOvarian NeoplasmsAdultAgedFemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisPropensity ScoreRetrospective StudiesAscites volumeMulti-institutional studyOvarian cancer

Identifiers

PMID39614202
PMCPMC11605864

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.