Evidence map›Paper›PMID 37251932›Full record

ArticleFrontiers in oncology2023

Sociodemographic disparities in targeted therapy in ovarian cancer in a national sample.

Saber A Amin, Lindsay J Collin, Juraj Kavecansky, Soko Setoguchi, Jaya M Satagopan, Elisa V Bandera

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Diminishing Returns Among Black Patients With Cancer: The Intersection of Race and Neighborhood Socioeconomic Status.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    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

6 authors at 6 institutions in 1 country.

Saber A AminCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States.
Lindsay J CollinDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.
Juraj KavecanskyDepartment of Hematology/Oncology, Kaiser Permanente Northern California, Walnut Creek, CA, United States.
Soko SetoguchiDepartment of Medicine, Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
Jaya M SatagopanCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States.
Elisa V BanderaCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States.
Johnson University · USKaiser Permanente Walnut Creek Medical Center · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · USUniversity of Nebraska Medical Center · USUniversity of Utah · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI PANOS G. GEORGOPOULOS · 1988 to 2026
$47.4M
NRSA Training CoreTL1TR002540 · NCATS · UNIVERSITY OF UTAH · PI FAGERLIN, ANGELA, FAIRFAX, KEKE CELESTE · 2018 to 2022
$1.6M
NCATS NIH HHS TL1 TR002540NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

Background: The treatment landscape for ovarian cancer has changed in recent years with the introduction of targeted therapies to treat patients with advanced disease. We investigated patient demographic and clinical factors associated with use of targeted therapies as a part of the first-line treatment for ovarian cancer. Methods: This study included patients diagnosed with stage I-IV ovarian cancer between 2012 and 2019 from the National Cancer Database. Information on demographic and clinical characteristics were collected and described using frequency and percent across receipt of targeted therapy. Logistic regression was used to compute the odds ratios (ORs) and 95% confidence intervals (CI) associating patient demographic and clinical factors with receipt of targeted therapy. Results: Among 99,286 ovarian cancer patients (mean age 62 years), 4.1% received targeted therapy. The rate of targeted therapy receipt across racial and ethnic groups over the study period was fairly similar; however, non-Hispanic Black women were less likely to receive targeted therapy than their non-Hispanic White counterparts (OR=0.87, 95% CI: 0.76-1.00). Patients who received neoadjuvant chemotherapy were more likely to receive targeted therapy than those who received adjuvant chemotherapy (OR=1.26; 95% CI: 1.15-1.38). Moreover, among patients who received targeted therapy, 28% received neoadjuvant targeted therapy, with non-Hispanic Black women being most likely to receive neoadjuvant targeted therapy (34%) compared with other racial and ethnic groups. Conclusions: We observed differences in receipt of targeted therapy by factors such as age at diagnosis, stage, and comorbidities present at diagnosis, as well as factors related to healthcare access-including neighborhood education level and health insurance status. Approximately 28% of patients received targeted therapy in the neoadjuvant setting, which could negatively impact treatment outcomes and survival due to the increased risk of complications associated with targeted therapies that may delay or prevent surgery. These results warrant further evaluation in a cohort of patients with more comprehensive treatment information.

Indexed as

cancer health disparitiescancer treatmentepidemiology - analytic (risk factors)epithelial ovarian cancertargeted therapy

Identifiers

PMID37251932
PMCPMC10213306
OpenAlexW4378746768

What OpenQuestion holds

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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.