Evidence map›Paper›PMID 32046255›Full record

ReviewInternational journal of molecular sciences2020

Genetic Predisposition to Breast and Ovarian Cancers: How Many and Which Genes to Test?

Davide Angeli, Samanta Salvi, Gianluca Tedaldi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
12.6field-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.

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

63 citing papers in PubMed, 114 citations in OpenAlex.

  1. Multigene panel testing reveals the spectrum of non-BRCA germline variants in BRCA1/2-negative breast, ovarian, and prostate cancer patients from a Turkish cohort.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  8. International journal of oncology · 2025
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  11. Timing of depression in relation to risk of ovarian cancer.Journal of the National Cancer Institute · 2025
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  14. Epidemiological profile of breast cancer in a reference center in the north region of Brazil.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
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3 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Davide AngeliBiostatistics and Clinical Trials Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy.ORCID 0000-0002-8855-0829
Samanta SalviBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy.
Gianluca TedaldiBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy.ORCID 0000-0003-0540-6694
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast and ovarian cancers are some of the most common tumors in females, and the genetic predisposition is emerging as one of the key risk factors in the development of these two malignancies.

Indexed as

Breast NeoplasmsFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansOvarian NeoplasmsPTEN PhosphohydrolaseTumor Suppressor Protein p53PTEN PhosphohydrolaseTumor Suppressor Protein p53cancer predispositioncancer riskgene panelshereditary breast and ovarian cancernext-generation sequencing

Identifiers

PMID32046255
PMCPMC7038038
OpenAlexW3004559804

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.