ReviewBiological research for nursing2018
Inherited Cancer in the Age of Next-Generation Sequencing.
Review in Biological research for nursing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- A machine learning framework for predictive interpretation of variants of uncertain significance in hereditary cancer.Frontiers in systems biology · 2026Article
- Solving Missing Heritability in Patients With Familial Adenomatous Polyposis With DNA-RNA Paired Testing.JCO precision oncology · 2024Article
- Article
- Cancer genetic counseling in Chile: Addressing barriers, confronting challenges, and seizing opportunities in an underserved Latin American Community.Genetics in medicine open · 2024Article
- Screening for Mutations in Hereditary Cancer Susceptibility Genes in a Region with High Endogamy in Brazil.Global medical genetics · 2023Article
- Ovarian cancer risk assessment in the era of next-generation sequencing.Annals of translational medicine · 2020Review
- Treatment algorithm in patients with ovarian cancer.Facts, views & vision in ObGyn · 2020Article
- Wise Management of Ovarian Cancer: On the Cutting Edge.Journal of personalized medicine · 2020Review
- Application Areas of Traditional Molecular Genetic Methods and NGS in relation to Hereditary Urological Cancer Diagnosis.Journal of oncology · 2020Review
- Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations.BMC cancer · 2019Article
- Impact of molecular testing in clinical practice in gynecologic cancers.Cancer medicine · 2019Article
- Chemically induced carcinogenesis in rodent models of aging: assessing organismal resilience to genotoxic stressors in geroscience research.GeroScience · 2019Review
- The Clinical and Genetic Landscape of Hereditary Cancer: Experience from a Single Clinical Diagnostic Laboratory.Cancer genomics & proteomicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next-generation sequencing (NGS) technology has led to the ability to test for multiple cancer susceptibility genes simultaneously without significantly increasing cost or turnaround time. With growing usage of multigene testing for inherited cancer, ongoing education for nurses and other health-care providers about hereditary cancer screening is imperative to ensure appropriate testing candidate identification, test selection, and posttest management. The purpose of this review article is to (1) provide an overview of how NGS works to detect germline mutations, (2) summarize the benefits and limitations of multigene panel testing, (3) describe risk categories of cancer susceptibility genes, and (4) highlight the counseling considerations for patients pursuing multigene testing.
Indexed as
Identifiers
What OpenQuestion holds
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.