Evidence map›Paper›PMID 38473333›Full record

ArticleCancers2024

Impact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study.

Shana J Kim, Shelley S Tworoger, Barry P Rosen, John R McLaughlin, Harvey A Risch, Steven A Narod, Joanne Kotsopoulos

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. A Multistate Survival Model to Identify Risk Factors for Lethal Ovarian Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  2. Article
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

7 authors at 5 institutions in 2 countries.

Shana J KimWomen's College Research Institute, Women's College Hospital, Toronto, ON M5S 1B2, Canada.ORCID 0009-0008-8816-5518
Shelley S TworogerDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health and Sciences, Portland, OR 97201, USA.
Barry P RosenPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada.
John R McLaughlinSamuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada.
Harvey A RischDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06520, USA.
Steven A NarodWomen's College Research Institute, Women's College Hospital, Toronto, ON M5S 1B2, Canada.ORCID 0000-0001-5798-0626
Joanne KotsopoulosWomen's College Research Institute, Women's College Hospital, Toronto, ON M5S 1B2, Canada.
University of Toronto · CAMount Sinai Hospital · CAOregon Health & Science University · USUniversity Health Network · CAYale University · US

Funding

RISK FACTOR ANALYSIS OF BRCA1 AND BRCA2 CARRIERSR01CA063678 · NCI · UNIVERSITY OF TORONTO · PI NAROD, STEVEN A · 1994 to 1999
–
GENETIC/EPIDEMIOLOGY STUDY OF EPITHELIAL OVARIAN TUMORSR01CA063682 · NCI · YALE UNIVERSITY · PI RISCH, HARVEY A · 1994 to 1998
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NCI NIH HHS R01 CA063678NCI NIH HHS R01 CA063682NIH HHS R01-CA063678NIH HHS R01-CA063682
6 · The paper itself

Abstract

Tumor- and treatment-related factors are established predictors of ovarian cancer survival. New studies suggest a differential impact of exposures on ovarian cancer survival trajectories (i.e., rapidly fatal to long-term disease). This study examined the impact of pre-diagnostic risk factors on short- and long-term ovarian cancer survival trajectories in the Canadian context. This population-based longitudinal observational study included women diagnosed with invasive epithelial ovarian cancer from 1995 to 2004 in Ontario. Data were obtained from medical records, interviews, and the provincial cancer registry. Extended Cox proportional hazard models estimated the association between risk factors and all-cause and ovarian cancer-specific mortality by survival time intervals (<3 years (i.e., short-term survival), 3 to <6 years, 6 to <10 years, and ≥10 years (i.e., long-term survival)). Among 1421 women, histology, stage, and residual disease were the most important predictors of all-cause mortality in all survival trajectories, particularly for short-term survival. Reproductive and lifestyle factors did not strongly impact short-term overall survival but were associated with long-term overall survival. As such, among long-term survivors, history of breastfeeding significantly decreased the risk of all-cause mortality (HR 0.65; 95% CI 0.46, 0.93;

Indexed as

mortalityovarian cancerrisk factorssurvivaltrajectory

Identifiers

PMID38473333
PMCPMC11154316
OpenAlexW4392240692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.