Evidence map›Paper›PMID 41567651›Full record

ArticleHawai'i journal of health & social welfare2025

Utilization of Genetic Testing and Surgical Implications in an Ethnically Diverse Hawaiian Population.

Amelia Wong, Saskia Leonard, Katlyn An, Brendan Seto, Jared Su, Jessica Kieu, Hyeong Jun Ahn, Ashley Marumoto

Abstract read
In one paragraph

Article in Hawai'i journal of health & social welfare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Amelia WongSurgery, University of Hawai'i John A. Burns School of Medicine.
Saskia LeonardUniversity of Hawai'i, John A. Burns School of Medicine.
Katlyn AnUniversity of Hawai'i, John A. Burns School of Medicine.
Brendan SetoUniversity of Hawai'i, John A. Burns School of Medicine.
Jared SuUniversity of Hawai'i, John A. Burns School of Medicine.
Jessica KieuUniversity of Hawai'i, John A. Burns School of Medicine.
Hyeong Jun AhnQuantitative Health Sciences, University of Hawai'i, John A. Burns School of Medicine.
Ashley MarumotoSurgery, University of Hawai'i John A. Burns School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing is recommended for young women diagnosed with breast cancer. While studies have demonstrated an increased likelihood of variants of unknown significance (VUS) among racial/ethnic minorities compared to non-Hispanic Whites, results in the ethnically diverse population of Hawai'i are largely unknown. Additionally, current consensus guidelines dictate that VUS mutations are not clinically actionable and surgical decision-making is not standardized. This study aims to examine the utilization of genetic testing in Hawai'i and evaluate for any subsequent impacts on surgical practice patterns. A retrospective chart review of women age <45 diagnosed with breast cancer between 2016 and 2020 was performed at a single institution in Honolulu, Hawai'i. Ethnicity, cancer history, detected genes/variants, and surgical intervention were extracted. Of 236 patients identified, 134 (56.7%) were Asian, 57 (24.1%) Native Hawaiian/Pacific Islander (NHPI), and 45 (19.1%) Other. The majority (n=201, 85.2%) underwent genetic testing. A family history of breast cancer was predictive of testing (

Indexed as

Breast NeoplasmsGenetic TestingAdultEthnicityFemaleHawaiiHumansMiddle AgedNative Hawaiian or Pacific IslanderRetrospective StudiesBreast cancergenetic testingmastectomyNative Hawaiian/Pacific Islandervariants of unknown significance

Identifiers

PMID41567651
PMCPMC12818462

What Socratic holds

Textmetadata
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 Socratic graph.