Evidence map›Paper›PMID 34347287›Full record

ArticleCancer2021

Factors impacting the time to ovarian cancer diagnosis based on classic symptom presentation in the United States.

Sarah P Huepenbecker, Charlotte C Sun, Shuangshuang Fu, Hui Zhao, Kristin Primm, Sharon H Giordano, Larissa A Meyer

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Using large language models to identify prediagnostic clinical features of ovarian cancer from healthcare records: a population-based case-control study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  5. Study of Estrogen Receptor Alpha Gene Polymorphisms (International journal of molecular sciences · 2026
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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

7 authors at 1 institution in 1 country.

Sarah P HuepenbeckerDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3566-7393
Charlotte C SunDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Shuangshuang FuDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hui ZhaoDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4742-1139
Kristin PrimmDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sharon H GiordanoDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Larissa A MeyerDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-2687-7463
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2021
$7.9M
Health Services Career Development: Improving Medical Decisions in Ovarian CancerK07CA201013 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MEYER, LARISSA ALEJANDRA · 2016 to 2020
$853k
NCI NIH HHS K07 CA201013NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA217685NCI NIH HHS T32 CA101642
6 · The paper itself

Abstract

backgroundPatients with ovarian cancer often present with late-stage disease and nonspecific symptoms, but little is known about factors affecting the time to diagnosis (TTD) in the United States.

methodsA retrospective, population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted. It included women 66 years old or older with stage II to IV epithelial ovarian cancer with at least 1 code for abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of the cancer diagnosis. TTD was defined from the first claim with a prespecified symptom to the ovarian cancer diagnosis. Kruskal-Wallis tests were used to assess for differences in TTD by group medians. Univariate and generalized linear models with a log-link function evaluated TTD by covariables.

resultsFor the 13,872 women analyzed, the mean and median times to diagnosis were 2.9 and 1.1 months, respectively. The median TTD differed significantly by first symptom (P < .001), number of symptoms (P < .001), and first physician specialty seen (P < .001). In a multivariable analysis, TTD differed significantly according to race/ethnicity (P < .001), geographic region (P = .001), urban-rural location (P = .031), emergency room presentation (P < .001), and number of specialties seen (P < .001). A shorter TTD was associated with a diagnosis in 2006-2010 (relative risk [RR], 0.92; 95% confidence interval [CI], 0.87-0.98) or 2011-2015 (RR, 0.87; 95% CI, 0.81-0.93) in comparison with 1992-1999.

conclusionsThe time from a symptomatic presentation to care to a diagnosis of ovarian cancer is influenced by clinical and demographic variables. This study's findings reinforce the importance of educating all physicians on ovarian cancer symptoms to aid in diagnosis. LAY SUMMARY: Ovarian cancer is often diagnosed once disease has spread because the classic symptoms of ovarian cancer-abdominal or pelvic pain, bloating, difficulty eating, and urinary issues-can be mistaken for other problems. This study examined the time between when women with classic ovarian cancer symptoms went to a physician and when they received a cancer diagnosis in a large database population. The authors found that the time to diagnosis differed according to the type and number of symptoms and what type of physician a woman saw as well as factors such as race, geographic location, and year of diagnosis.

Indexed as

MedicareOvarian NeoplasmsAgedCarcinoma, Ovarian EpithelialFemaleHumansNeoplasm StagingRetrospective StudiesSEER ProgramUnited Statesepithelial ovarian cancergynecologic neoplasmlate diagnosisSurveillance, Epidemiology, and End Results (SEER) programsymptom assessment

Identifiers

PMID34347287
PMCPMC8556293
OpenAlexW3191034028

What OpenQuestion holds

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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.