Evidence map›Paper›PMID 34023131›Full record

SynthesisGynecologic oncology2021

Achieving universal genetic assessment for women with ovarian cancer: Are we there yet? A systematic review and meta-analysis.

Jenny Lin, Ravi N Sharaf, Rachel Saganty, Danyal Ahsan, Julia Feit, Andrea Khoury, Hannah Bergeron, Eloise Chapman-Davis, Evelyn Cantillo, Kevin Holcomb and 8 more

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Gynecologic oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07052266 (Feasibility of Obstetric and Cancer Universal Screening), which is not on this map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% 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.

NCT07052266 narecruitingnot on this mapstarted 2025, after this paper: background citation

Feasibility of Obstetric and Cancer Universal Screening

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2025 to 2028Enrolled550ConditionsHereditary Cancer SyndromesArmsMyRisk Hereditary Cancer Test
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Systematic evidence review and meta-analysis of outcomes associated with cancer genetic counseling.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. BRCA Testing in Asian Patients with Ovarian Cancer: Standard Clinical Practice or Mutation Prediction Model?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Homologous Recombination Deficiency and Survival in Ovarian High-Grade Serous Carcinoma by Self-Reported Race.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  18. Article
  19. Article
  20. 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

18 authors at 4 institutions in 1 country.

Jenny LinWeill Cornell Medicine, USA.
Ravi N SharafWeill Cornell Medicine, USA.
Rachel SagantyWeill Cornell Medicine, USA.
Danyal AhsanWeill Cornell Medicine, USA.
Julia FeitWeill Cornell Medicine, USA.
Andrea KhouryWeill Cornell Medicine, USA.
Hannah BergeronWeill Cornell Medicine, USA.
Eloise Chapman-DavisWeill Cornell Medicine, USA.
Evelyn CantilloWeill Cornell Medicine, USA.
Kevin HolcombWeill Cornell Medicine, USA.
Stephanie V BlankIcahn School of Medicine at Mount Sinai, Blavatnik Family Women's Health Research Institute, USA.
Ying LiuMemorial Sloan Kettering Cancer Center, USA.
Charlene ThomasWeill Cornell Medicine, USA.
Paul J ChristosWeill Cornell Medicine, USA.
Drew N WrightWeill Cornell Medicine, USA.
Steven LipkinWeill Cornell Medicine, USA.
Kenneth OffitMemorial Sloan Kettering Cancer Center, USA.
Melissa K FreyWeill Cornell Medicine, USA. Electronic address: mkf2002@med.cornell.edu.
Weill Cornell Medicine · USCornell University · USMemorial Sloan Kettering Cancer Center · USIcahn School of Medicine at Mount Sinai · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Institutional Career Development CoreKL2TR002385 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI YUAN-SHAN ZHU · 2017 to 2026
$13.3M
Neoantigen Vaccination for Lynch Syndrome ImmunopreventionU01CA233056 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LIPKIN, STEVEN M, VILAR SANCHEZ, EDUARDO · 2018 to 2022
$3.8M
Implementing Universal Lynch Syndrome Screening across Multiple Healthcare Systems: Identifying Strategies to Facilitate and Maintain Programs in Different Organizational ContextsR01CA211723 · NCI · GEISINGER CLINIC · PI RAHM, ALANNA K · 2017 to 2021
$3.7M
Gene Dependent Cancer Risk and Optimal Cancer Prevention Strategies in Lynch SyndromeK07CA216326 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHARAF, RAVI · 2018 to 2021
$675k
NCATS NIH HHS KL2 TR002385NCATS NIH HHS UL1 TR002384NCI NIH HHS K07 CA216326NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA211723NCI NIH HHS U01 CA233056
6 · The paper itself

Abstract

purposeSeveral professional organizations recommend universal genetic assessment for people with ovarian cancer as identifying pathogenic variants can affect treatment, prognosis, and all-cause mortality for patients and relatives. We sought to evaluate the literature on genetic assessment for women with ovarian cancer and determine if any interventions or patient characteristics drive utilization of services.

methodsWe searched key electronic databases to identify trials that evaluated genetic assessment for people with ovarian cancer. Trials with the primary aim to evaluate utilization of genetic assessment with or without interventions were included. Eligible trials were subjected to meta-analysis and the moderating influence of health interventions on rates of genetic assessment were examined.

resultsA total of 35 studies were included (19 report on utilization of genetic services without an intervention, 7 with an intervention, and 9 with both scenarios). Without an intervention, pooled estimates for referral to genetic counseling and completion of genetic testing were 39% [CI 27-53%] and 30% [CI 19-44%]. Clinician-facilitated interventions included: mainstreaming of genetic services (99% [CI 86-100%]), telemedicine (75% [CI 43-93%]), clinic-embedded genetic counselor (76% [CI 32-95%]), reflex tumor somatic genetic assessment (64% [CI 17-94%]), universal testing (57% [28-82%]), and referral forms (26% [CI 10-53%]). Random-effects pooled proportions demonstrated that Black vs. White race was associated with a lower rate of genetic testing (26%[CI 17-38%] vs. 40% [CI 25-57%]) as was being un-insured vs. insured (23% [CI 18-28%] vs. 38% [CI 26-53%]).

conclusionsReported rates of genetic testing for people with ovarian cancer remain well below the goal of universal testing. Interventions such as mainstreaming can improve testing uptake. Strategies aimed at improving utilization of genetic services should consider existing disparities in race and insurance status.

Indexed as

BRCA1 ProteinBRCA2 ProteinDNA Mutational AnalysisEarly Detection of CancerFemaleGenetic CounselingGenetic TestingHumansOvarian NeoplasmsReferral and ConsultationTelemedicineBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCascade testingGenetic counselingGenetic testingHereditary cancer syndromesOvarian cancer

Identifiers

PMID34023131
PMCPMC8424684
OpenAlexW3160293272

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.