Background: Despite advances in precision medicine, the translation of genetic and genomic technologies into routine practice is hampered by a heterogeneous and limited evidence base and the absence of standardized evaluation methodologies. Health Technology Assessment (HTA) plays a critical role in bridging this gap, yet assessment approaches and comprehensiveness vary widely. This systematic review aims to map the landscape of the assessment reports on genetic and genomics applications, analyze their methodological aspects and identify gaps. Methods: PubMed, Scopus, Web of Science, and the international HTA database, were searched for assessment reports of genetic/genomic technologies. Information on reports general characteristics, assessment domains and their components, consulted sources of evidence and reported gaps was extracted. Findings were synthesized narratively. Results: Out of 27,331 screened records, 41 reports were included, predominantly from Canada, the United Kingdom, and Australia, mainly aimed at informing policy making for single or multiple gene tests for cancer patients. Most reports used a generic HTA methodology and assessment domains varied across reports. Key clinical aspects, such as clinical accuracy and safety, suffered from evidence gaps (39.0% and 22.0%), while personal and societal aspects were the least investigated assessment domain (48.8-78.0%). Overall, lack of evidence and limited generalizability of findings were the most commonly reported gaps across multiple domains. Conclusions: The review highlighted significant fragmentation in current evaluation methodologies of genetic and genomic applications, with underassessment of analytical/clinical accuracy, safety, and non-health outcomes, alongside evidence gaps and limited generalizability. These issues compromise both evaluation and decision-making process, underscoring the urgent need for alternative study designs and standardized, comprehensive assessment frameworks to facilitate the successful implementation of emerging genetic and genomic technologies.

Are we properly evaluating genetic and genomic testing? A systematic review of health technology assessment reports / Sciurti, Antonio; Migliara, Giuseppe; Baccolini, Valentina; De Blasiis, Maria Roberta; Di Lorenzo, Giuseppe; Mussetto, Ilaria; Anniballo, Arianna; Iera, Jessica; Isonne, Claudia; Kaminska, Anna Ewa; Pierri, Francesco; Pistollato, Andrea; Riccio, Marianna; Rosso, Annalisa; Siena, Leonardo Maria; Soccodato, Valentina; Marzuillo, Carolina; De Vito, Corrado; La Torre, Giuseppe; Villari, Paolo. - In: JOURNAL OF TRANSLATIONAL MEDICINE. - ISSN 1479-5876. - 23:1(2025), pp. 1-19. [10.1186/s12967-025-06703-z]

Are we properly evaluating genetic and genomic testing? A systematic review of health technology assessment reports

Sciurti, Antonio
Co-primo
;
Migliara, Giuseppe
Co-primo
;
Baccolini, Valentina
;
De Blasiis, Maria Roberta;Di Lorenzo, Giuseppe;Mussetto, Ilaria;Anniballo, Arianna;Iera, Jessica;Isonne, Claudia;Kaminska, Anna Ewa;Pierri, Francesco;Pistollato, Andrea;Riccio, Marianna;Rosso, Annalisa;Siena, Leonardo Maria;Soccodato, Valentina;Marzuillo, Carolina;De Vito, Corrado;La Torre, Giuseppe;Villari, Paolo
Ultimo
2025

Abstract

Background: Despite advances in precision medicine, the translation of genetic and genomic technologies into routine practice is hampered by a heterogeneous and limited evidence base and the absence of standardized evaluation methodologies. Health Technology Assessment (HTA) plays a critical role in bridging this gap, yet assessment approaches and comprehensiveness vary widely. This systematic review aims to map the landscape of the assessment reports on genetic and genomics applications, analyze their methodological aspects and identify gaps. Methods: PubMed, Scopus, Web of Science, and the international HTA database, were searched for assessment reports of genetic/genomic technologies. Information on reports general characteristics, assessment domains and their components, consulted sources of evidence and reported gaps was extracted. Findings were synthesized narratively. Results: Out of 27,331 screened records, 41 reports were included, predominantly from Canada, the United Kingdom, and Australia, mainly aimed at informing policy making for single or multiple gene tests for cancer patients. Most reports used a generic HTA methodology and assessment domains varied across reports. Key clinical aspects, such as clinical accuracy and safety, suffered from evidence gaps (39.0% and 22.0%), while personal and societal aspects were the least investigated assessment domain (48.8-78.0%). Overall, lack of evidence and limited generalizability of findings were the most commonly reported gaps across multiple domains. Conclusions: The review highlighted significant fragmentation in current evaluation methodologies of genetic and genomic applications, with underassessment of analytical/clinical accuracy, safety, and non-health outcomes, alongside evidence gaps and limited generalizability. These issues compromise both evaluation and decision-making process, underscoring the urgent need for alternative study designs and standardized, comprehensive assessment frameworks to facilitate the successful implementation of emerging genetic and genomic technologies.
2025
genetic and genomic applications; genetic and genomic technologies; health technology assessment; systematic review
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Are we properly evaluating genetic and genomic testing? A systematic review of health technology assessment reports / Sciurti, Antonio; Migliara, Giuseppe; Baccolini, Valentina; De Blasiis, Maria Roberta; Di Lorenzo, Giuseppe; Mussetto, Ilaria; Anniballo, Arianna; Iera, Jessica; Isonne, Claudia; Kaminska, Anna Ewa; Pierri, Francesco; Pistollato, Andrea; Riccio, Marianna; Rosso, Annalisa; Siena, Leonardo Maria; Soccodato, Valentina; Marzuillo, Carolina; De Vito, Corrado; La Torre, Giuseppe; Villari, Paolo. - In: JOURNAL OF TRANSLATIONAL MEDICINE. - ISSN 1479-5876. - 23:1(2025), pp. 1-19. [10.1186/s12967-025-06703-z]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1744858
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