Evidence map›Paper›PMID 40233285›Full record

ArticleJCO oncology practice2026

Leveraging Electronic Health Records to Examine the Real-World Rates of Cancer Genetics Referrals in a Singapore Health Care Cluster.

Jonathan Jian Hao Soon, Jianglei Wu, Nur Diana Binte Ishak, Wei Qiang See, Michael Dorosan, Jeanette Yuen, Andrea Wan Ling Tan, Marcus Eng Hock Ong, Sean Shao Wei Lam, Hwee-Lin Wee and 2 more

Abstract read
In one paragraph

Article in JCO oncology practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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
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

12 authors.

Jonathan Jian Hao SoonCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.ORCID 0000-0002-1858-9760
Jianglei WuCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Nur Diana Binte IshakCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Wei Qiang SeeHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Michael DorosanHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-6555-9281
Jeanette YuenCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Andrea Wan Ling TanCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.ORCID 0009-0002-2337-2344
Marcus Eng Hock OngHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-7874-7612
Sean Shao Wei LamHealth Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-0898-5858
Hwee-Lin WeeSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-7150-1801
Jianbang ChiangCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.ORCID 0000-0002-3109-2839
Joanne NgeowCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.ORCID 0000-0003-1558-3627

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIdentifying patients with hereditary cancer syndromes through genetics referral enhances early detection and reduces healthcare costs. Despite potential benefits, genetics referral rates globally, including Singapore, remain low. This study investigates the real-world rates of genetics referrals in eligible cancer patients at Singapore's largest healthcare cluster using Electronic Health Records.

methodsReferral criteria for genetics referrals were based on international guidelines. The institution's data repository was queried for eligible patients with relevant diagnosis codes from 2017 to 2021. We assessed genetics clinic attendance among eligible patients to evaluate referral rates. Variations in referral rates over time were analysed using linear regression and two-tailed

resultsOf the 10,080 patients eligible for a genetics referral, 17.1% (1719) were referred to a cancer genetics clinic. Breast, ovarian, colorectal, and endometrial cancers accounted for 42.9%, 33.5%, 11.3%, and 8.6% of referrals, respectively. Other tumour types accounted for 3.7% of referrals. Referral rates for suspected Hereditary Breast and Ovarian Cancer syndrome (HBOC)-related cancers were higher (19.4%) than referrals for suspected Lynch syndrome (11.9%). Among HBOC referrals, women (20.7%) were more likely to be referred than males (7.8%). From 2017 to 2021, we found an increase in referral rates for HBOC (12.8%-28.6%,

conclusionThis study found lower referral rates for Lynch syndrome than HBOC, and identified a gender discrepancy, with men with HBOC being less likely to be referred. Efforts to increase referral rates should include raising clinician awareness and electronically identifying suspected cases, especially for male breast cancer and Lynch Syndrome.

Indexed as

Electronic Health RecordsNeoplasmsReferral and ConsultationAdultAgedFemaleHumansMaleMiddle AgedSingapore

Identifiers

PMID40233285
PMCPMC12815468

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.