Evidence map›Paper›PMID 29195926›Full record

Trial reportGynecologic oncology2018

Clinicopathologic characteristics associated with long-term survival in advanced epithelial ovarian cancer: an NRG Oncology/Gynecologic Oncology Group ancillary data study.

C A Hamilton, A Miller, Y Casablanca, N S Horowitz, B Rungruang, T C Krivak, S D Richard, N Rodriguez, M J Birrer, F J Backes and 7 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Gynecologic oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Comparative analysis ofEuropean journal of nuclear medicine and molecular imaging · 2026
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  4. Observational
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  11. Cancer-Specific Mortality in Asian American Women Diagnosed with Gynecologic Cancer: A Nationwide Population-Based Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

17 authors.

C A HamiltonGynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Walter Reed National Military Medical Center and Uniformed Services University of the Health Sciences, Bethesda, MD, United States. Electronic address: chad.a.hamilton2.mil@mail.mil.
A MillerNRG Oncology Statistics and Data Management Center/Gynecologic Oncology Group, Statistical and Data Center, Roswell Park Cancer Institute, Buffalo, NY, United States.
Y CasablancaGynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Walter Reed National Military Medical Center and Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
N S HorowitzDivision of Gynecologic Oncology, Brigham & Women's Hospital, Boston, MA, United States.
B RungruangDivision of Gynecologic Oncology, Medical College of Georgia at Augusta University, Augusta, GA, United States.
T C KrivakDivision of Gynecologic Oncology, Western Pennsylvania Hospital, Pittsburgh, PA, United States.
S D RichardDivision of Gynecologic Oncology, Hahnemann University Hospital/Drexel University College of Medicine, Philadelphia, PA, United States.
N RodriguezDivision of Gynecologic Oncology, Loma Linda University Medical Center, Loma Linda, CA, United States.
M J BirrerGillette Center for Gynecologic Oncology, Massachusetts General Hospital, Boston, MA, United States.
F J BackesDivision of Gynecologic Oncology, Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, United States.
M A GellerGynecology and Women's Health, University of Minnesota, Minneapolis, MN, United States.
M QuinnGynaecological Oncology, ANZGOG, Royal Women's Hospital and University of Melbourne, Australia.
M J GoodheartGynecologic Oncology, University of Iowa, Iowa City, IA, United States.
D G MutchGynecologic Oncology, Washington University, St. Louis, MO, United States.
J J KavanaghMD Anderson Cancer Center, Houston, TX, United States.
G L MaxwellInova Fairfax Hospital Department of Obstetrics and Gynecology, Inova Schar Cancer Institute, Falls Church, VA, United States.
M A BookmanUS Oncology Research and Arizona Oncology, Tucson, AZ, United States.

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI James J. Dignam, GREG YOTHERS · 2014 to 2026
$146.4M
GYNECOLOGIC ONCOLOGY GROUP HEADQUARTERSU10CA027469 · NCI · GYNECOLOGIC ONCOLOGY GROUP · PI DISAIA, PHILIP J. · 1985 to 2013
$132.6M
Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
GYNECOLOGIC ONCOLOGY GROUP STATISTICAL OFFICEU10CA037517 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI BLESSING, JOHN A · 1985 to 2013
$67.4M
NCI NIH HHS P30 CA016058NCI NIH HHS U10 CA027469NCI NIH HHS U10 CA037517NCI NIH HHS U10 CA180822NCI NIH HHS U10 CA180868
6 · The paper itself

Abstract

objectiveTo identify clinicopathologic factors associated with 10-year overall survival in epithelial ovarian cancer (EOC) and primary peritoneal cancer (PPC), and to develop a predictive model identifying long-term survivors.

methodsDemographic, surgical, and clinicopathologic data were abstracted from GOG 182 records. The association between clinical variables and long-term survival (LTS) (>10years) was assessed using multivariable regression analysis. Bootstrap methods were used to develop predictive models from known prognostic clinical factors and predictive accuracy was quantified using optimism-adjusted area under the receiver operating characteristic curve (AUC).

resultsThe analysis dataset included 3010 evaluable patients, of whom 195 survived greater than ten years. These patients were more likely to have better performance status, endometrioid histology, stage III (rather than stage IV) disease, absence of ascites, less extensive preoperative disease distribution, microscopic disease residual following cyoreduction (R0), and decreased complexity of surgery (p<0.01). Multivariable regression analysis revealed that lower CA-125 levels, absence of ascites, stage, and R0 were significant independent predictors of LTS. A predictive model created using these variables had an AUC=0.729, which outperformed any of the individual predictors.

conclusionsThe absence of ascites, a low CA-125, stage, and R0 at the time of cytoreduction are factors associated with LTS when controlling for other confounders. An extensively annotated clinicopathologic prediction model for LTS fell short of clinical utility suggesting that prognostic molecular profiles are needed to better predict which patients are likely to be long-term survivors.

Indexed as

AgedAscitesCA-125 AntigenCarcinoma, Ovarian EpithelialFemaleHumansMiddle AgedNeoplasm, ResidualNeoplasms, Glandular and EpithelialOvarian NeoplasmsPeritoneal NeoplasmsROC CurveUnited StatesCA-125 AntigenLong-term survivalOvarian cancer

Identifiers

PMID29195926
PMCPMC5918685

What OpenQuestion holds

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Registered trials

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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.