Evidence map›Paper›PMID 42558208›Full record

ReviewFrontiers in sociology2026

Medicolegal and ethical concerns in genetic tests communication.

Pierpaolo Di Lorenzo, Mariagrazia Marisei, Marco Macculi, Claudia Casella, Pascale Basilicata, Emanuele Capasso, Massimo Niola

Abstract readReview
In one paragraph

Review in Frontiers in sociology, 2026. 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

7 authors.

Pierpaolo Di LorenzoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Mariagrazia MariseiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Marco MacculiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Claudia CasellaDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Pascale BasilicataDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Emanuele CapassoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Massimo NiolaDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Genetic information is a special category of personal data that is relevant for its predictive reach. The purpose of this paper is to provide an overview of the state of the art on the communication of genetic test results in both clinical and judicial practice in Europe. Methods: Starting from the research problem, legislation, policy documents and case law have been examined in order to combine legal, ethical, judicial and clinical aspects that shape the field of genetic test communication in Europe, with a specific focus on Italy. Results: Data suggesting the state-of the art of genetic results communication in clinical practice has been analysed and organized in thematic sections. Conclusion: A focus on consent and confidentiality is indicated by the numerous works that have emerged from the human genome project and the general ideas around predictive medicine. The real challenge consists in transforming the potential of genetic data from a personal, ultrapersonal dimension to a solidaristic one, which lies beyond the horizon of personalized and predictive medicine and uncovers a new dimension of universality. Therefore, health professionals'

Indexed as

communicationgenetic counselinggenetic testspersonal dataprivacysolidaristic use

Identifiers

PMID42558208
PMCPMC13437347

What OpenQuestion holds

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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.