Evidence map›Paper›PMID 34022715›Full record

ReviewBreast (Edinburgh, Scotland)2021

Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives.

Filomena Ficarazzi, Manuela Vecchi, Maurizio Ferrari, Marco A Pierotti

Open access · goldAbstract readReview
In one paragraph

Review in Breast (Edinburgh, Scotland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Filomena FicarazziCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy. Electronic address: filomena.ficarazzi@cogentech.it.
Manuela VecchiCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy.
Maurizio FerrariCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy.
Marco A PierottiCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy; IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Via Adamello 16, 20139, Milan, Italy. Electronic address: marco.pierotti@cogentech.it.
IFOM · ITOptech (Canada) · CAVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing for hereditary breast and ovarian cancer following genetic counseling is based on guidelines that take into account particular features of the personal and family history, and clinical criteria conferring a probability of having a BRCA mutation greater than 10% as a threshold for accessing the test. However, besides reducing mortality and social impact, the extension of screening programs also for healthy family members would allow a huge saving of the rising costs associated with these pathologies, supporting the choice of the "Test" strategy versus a "No Test" one. Analyses of different health care systems show that by applying the "Test" strategy on patients and their families, a decrease in breast and ovarian cancer cases is achieved, as well as a substantial decrease in costs of economic resources, including the costs of the clinical management of early detected tumors. In this review, we analyzed the most recent papers published on this topic and we summarized the findings on the economic evaluations related to breast and ovarian cancer population screenings. These results proved and validated that the population-wide testing approach is a more accurate screening and preventive intervention than traditional guidelines based on personal/family history and clinical criteria to reduce breast and ovarian cancer risk.

Indexed as

Breast NeoplasmsOvarian NeoplasmsCost-Benefit AnalysisEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenetic TestingHumansBRCABreast cancerCost-effectiveness analysisEconomic evaluationNGS molecular TestingOvarian cancerPopulation screening

Identifiers

PMID34022715
PMCPMC8164087
OpenAlexW3160352463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.