Evidence map›Paper›PMID 31954534›Full record

Observational studyGynecologic oncology2020

Evolving population-based statistics for rare epithelial ovarian cancers.

Koji Matsuo, Hiroko Machida, Shinya Matsuzaki, Brendan H Grubbs, Maximilian Klar, Lynda D Roman, Anil K Sood, David M Gershenson, Jason D Wright

Abstract readObservational Study
In one paragraph

Observational study in Gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Tumour spectrum inJournal of medical genetics · 2025
    Pooled it
  2. Pooled it
  3. Article
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  7. Molecular changes driving low-grade serous ovarian cancer and implications for treatment.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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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

9 authors.

Koji MatsuoDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address: koji.matsuo@med.usc.edu.
Hiroko MachidaDepartment of Obstetrics and Gynecology, Tokai University School of Medicine, Kanagawa, Japan.
Shinya MatsuzakiDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Brendan H GrubbsDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA.
Maximilian KlarDepartment of Obstetrics and Gynecology, University of Freiburg, Freiburg, Germany.
Lynda D RomanDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Anil K SoodDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD-Anderson Cancer Center, Houston, TX, USA.
David M GershensonDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD-Anderson Cancer Center, Houston, TX, USA.
Jason D WrightDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

objectiveTo describe how population-based statistics for rare epithelial ovarian cancers are evolving.

methodsThis is a retrospective observational study examining the Surveillance, Epidemiology, and End Results Program from 1988 to 2016. Overall survival (OS) of clear cell (OCCC), mucinous (MOC), and low-grade serous (LGSOC) ovarian cancers were compared to high-grade serous ovarian cancer (HGSOC) by fitting a propensity score matching.

resultsAmong 113,365 ovarian malignancies, 5780 OCCCs (5.1%), 7561 MOCs (6.7%), and 2021 LGSOCs (1.8%) were compared to 38,199 HGSOCs. OCCCs and MOCs were more likely to be diagnosed with stage I disease compared to HGSOC (57.0-59.5% versus 8.6%, P<0.001). For early-stage disease, OCCC (hazard ratio [HR] 0.91, 95% confidence interval [CI] 0.82-1.01) and MOC (HR 0.94, 95%CI 0.85-1.04) had similar OS to HGSOC whereas LGSOC had superior OS (HR 0.93, 95%CI 0.89-0.97) versus HGSOC. Conversely, for advanced-stage disease, OCCC (HR 1.42, 95%CI 1.32-1.53) and MOC (HR 1.11, 95%CI 1.09-1.13) had poorer OS whereas LGSOC (HR 0.86, 95%CI 0.84-0.89) had superior OS compared to HGSOC. OCCC (HR range, 1.92-2.45) and MOC (HR range, 1.73-2.22) had particularly poorer OS in the first three years following diagnosis compared to HGSOC. Population-level statistics for advanced-stage disease showed that 5-year OS rates have increased in HGSOC (16.9% to 36.8%, P<0.001) and LGSOC (50.8% to 66.4%, P=0.010); but remain unchanged for OCCC (21.0% to 28.2%, P=0.174) and MOC (21.4% to 16.5%, P=0.102).

conclusionOCCC, MOC, and LGSOC comprise 2-7% of ovarian malignancies, have distinct characteristics and survival compared to HGSOC. While these rare tumors have a favorable to comparable prognosis in early-stage disease, disproportionally poor survival in advanced-stage OCCC and MOC highlights the need for further research into novel treatment strategies.

Indexed as

AdultAgedAged, 80 and overAge FactorsCarcinoma, Ovarian EpithelialCohort StudiesFemaleHumansMiddle AgedNeoplasm StagingOvarian NeoplasmsRare DiseasesRetrospective StudiesSEER ProgramSurvival RateUnited StatesClear cellLow-grade serousMucinousOvarian cancerRare tumorSurvival

Identifiers

PMID31954534
PMCPMC7526050

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.