Evidence map›Paper›PMID 37174101›Full record

ArticleCancers2023

Effect on Germline Mutation Rate in a High-Risk Chinese Breast Cancer Cohort after Compliance with The National Comprehensive Cancer Network (NCCN) 2023 v.1 Testing Criteria.

Ava Kwong, Cecilia Y S Ho, Wing-Pan Luk, Ling-Hiu Fung, Chun-Hang Au, Edmond S K Ma

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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
0.9field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Ava KwongDivision of Breast Surgery, Department of Surgery, The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6968-9489
Cecilia Y S HoDivision of Molecular Pathology, Department of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China.
Wing-Pan LukDepartment of Research, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China.
Ling-Hiu FungDepartment of Research, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China.
Chun-Hang AuDivision of Molecular Pathology, Department of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China.
Edmond S K MaHong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR, China.ORCID 0000-0002-1259-2205
Hong Kong Sanatorium and Hospital · HKChinese University of Hong Kong · HK

Funding

Asian Fund for Cancer Research NilDr. Ellen Li Charitable Foundation NilHealth and Medical Research Fund 03143406Hong Kong Hereditary Breast Cancer Family Registry NilKerry Kuok Foundation Nil
6 · The paper itself

Abstract

backgroundThe National Comprehensive Cancer Network (NCCN) testing criteria for the high-penetrance breast cancer susceptibility genes, specifically

methodsHigh-risk breast cancer patients (

resultsAbout 91.2% of the patients met the 2022 v.2 criteria, while 97.5% of the patients met the 2023 v.1 criteria. An extra 6.4% of the patients were included after the revision of the criteria, and 2.5% of the patients did not meet both testing criteria. The germline

conclusionThis study provided a real-world application of the revision of NCCN guidelines and its effect on the germline mutation rate in the Chinese population. Applying the updated criteria for further genetic investigation would increase the positive detection rate, and potentially more patients would benefit. The balance between the resource and outcome requires careful consideration.

Indexed as

Chinesegermline mutationhereditary breast cancersNCCN

Identifiers

PMID37174101
PMCPMC10177488
OpenAlexW4375866670

What OpenQuestion holds

Textmetadata
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.