Evidence map›Paper›PMID 41918500›Full record

ArticleJCO oncology advances2026

Long-Term Survival in High-Grade Serous Ovarian Cancer Compared With the General US Population: A 30-Year Landmark Analysis.

Luigi A De Vitis, Melissa C Larson, Hunter J Atkinson, Matthew S Block, William A Cliby, Fergus J Couch, Sean C Dowdy, Gretchen E Glaser, Krista M Goergen, Ellen L Goode and 26 more

Abstract read
In one paragraph

Article in JCO oncology advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

36 authors.

Luigi A De VitisDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Melissa C LarsonDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Hunter J AtkinsonDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Matthew S BlockDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
William A ClibyDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Fergus J CouchDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Sean C DowdyDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Gretchen E GlaserDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Krista M GoergenDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Ellen L GoodeDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Bobbie S GostoutDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Lynn C HartmannDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Ethan P HeinzenRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Yajue HuangDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Aminah JatoiDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Monica JonesDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Katie J KarowDivision of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN USA.
Gary L KeeneyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Amanika KumarDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Carrie L LangstraatDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Sun-Hee LeeDivision of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN USA.
Andrea MarianiDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Stuart A OstbyDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Prema P PeethambaramDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Karl C PodratzDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Maryam ShahiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Mark E ShermanDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Marla Kay SommerfieldDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Elizabeth M SwisherDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA.
Vonda M WallDivision of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN USA.
S John WerohaDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Andrea E Wahner HendricksonDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Matthew J MaurerDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Scott H KaufmannDivision of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN USA.
Jamie N Bakkum-GamezDivision of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA.
Ann L ObergDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI SCOTT H KAUFMANN · 2009 to 2026
$37.0M
Relating Molecular Subgroups of Endometriosis-Associated Ovarian Cancers to Survival and RiskR01CA248288 · NCI · MAYO CLINIC ROCHESTER · PI Stacey J Winham · 2021 to 2026
$4.8M
NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA248288
6 · The paper itself

Abstract

Purpose: To compare mortality risk among long-term survivors of high-grade serous ovarian cancer (HGSOC) with that of the general U.S. population and to examine how mortality and recurrence trends have evolved under changing treatment approaches. Material and Methods: This is a retrospective cohort study including patients with histologically confirmed HGSOC treated at a single referral cancer center from 1991 to 2022. Mortality risk, expressed as standardized mortality ratios (SMRs, ratio of observed deaths in the study population to expected deaths in an age-matched U.S. population) was assessed at diagnosis and yearly on patients without events (disease persistence, recurrence, or death from any cause). Results: A total of 2,074 consecutive patients were included. Median follow-up was 12.5 years [interquartile range (IQR) 11.7-13.8]. Most patients were stage III (1396, 69.2%), 1299 (62.8%) underwent primary cytoreductive surgery, and 1688 (87.4%) received platinum-taxane as first-line therapy. At diagnosis, the mortality rate was 7.40 times higher than in the general population [95% confidence interval (CI) 7.04-7.77]. By 7 event-free years, the 95% confidence interval for the SMR included 1 for the first time, and at 10 years, the SMR was 1.05 [95% CI 0.72-1.49]), indicating no statistically significant excess mortality compared to the general population. In those event-free at 10 years, the 5-year cumulative incidence of ovarian cancer-related deaths (8.2% [95% CI 4.2-16.0]) was comparable to that of non-ovarian cancer-related deaths (6.3% [95% CI 2.9-13.8]). Conclusions: In this cohort, mortality risk steadily declined for patients who remained event-free, approaching that of the general population by 7 years post-diagnosis. These results emphasize the importance of individualized, long-term follow-up to address both recurrence risk and survivorship needs.

Identifiers

PMID41918500
PMCPMC13035374

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