Evidence map›Paper›PMID 42877302›Full record

ArticleJournal of health economics and outcomes research2026

Natural History of Rare Tumor Risk Syndromes: A Scoping Review to Inform Cost-Effectiveness Models.

Carolina Di Fabrizio, Judite Gonçalves, Zillur R Shabuz, Andrew Titman, Paula Boaventura, Svetlana Bajalica Lagercrantz, Barbara Peleteiro, Sara Pereira, Liliana Sousa, Stefan Aretz and 9 more

Abstract read
In one paragraph

Article in Journal of health economics and outcomes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

19 authors.

Carolina Di FabrizioNOVA School of Business and Economics, NOVA University of Lisbon, Carcavelos, Portugal.ORCID https://orcid.org/0000-0003-2313-475X
Judite GonçalvesNOVA School of Business and Economics, NOVA University of Lisbon, Carcavelos, Portugal.
Zillur R ShabuzLancaster School of Mathematical Sciences, Lancaster University, Bailrigg, Lancaster, UK.
Andrew TitmanSchool of Mathematical Sciences, Lancaster University, Bailrigg, Lancaster, UK.
Paula Boaventurai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Svetlana Bajalica LagercrantzKarolinska Institutet, Department of Oncology-Pathology, Stockholm, Sweden.
Barbara PeleteiroHospital Epidemiology Center, Unidade Local de Saúde São João, Porto, Portugal.
Sara Pereirai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Liliana Sousai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Stefan AretzERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Paula Soaresi3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Janneke Schuurs HoeijmakersERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Jean Christophe TheryERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Hildegunn Hoberg VettiERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Judith BalmañaERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Joan BrunetERN GENTURIS - European Reference Network on Genetic Tumour Risk Syndromes, Nijmegen, The Netherlands.
Carla Oliveirai3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Céu MateusDivision of Health Research, Lancaster University, Bailrigg, Lancaster, UK.
PREVENTABLE Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hereditary cancer syndromes account for approximately 10% of all cancers. Many of these, classified as rare tumor risk syndromes (RTRS), lack comprehensive data on natural history, lifetime cancer risk, and the long-term impact of surveillance. These evidence gaps limit the development of decision-analytic disease progression models and cost-effectiveness analyses needed to support healthcare decision-making. Objective: To map the available evidence on the natural history, cancer risk, and surveillance strategies in selected RTRS to inform disease progression models and future economic evaluations. Methods: A scoping review was conducted on 8 RTRS: Birt-Hogg-Dubé syndrome, familial gastrointestinal stromal tumor, familial melanoma, hereditary diffuse gastric cancer, hereditary leiomyomatosis and renal cell cancer, Li-Fraumeni syndrome, Peutz-Jeghers syndrome, and PTEN hamartoma tumor syndrome. Systematic searches of PubMed, Embase, and relevant gray literature sources were performed between April and June 2026 for studies published since 2010. Results: After screening 16 631 records, 80 studies were included in the review. Findings indicate significant heterogeneity in data availability and surveillance effectiveness. Some RTRS have relatively well-defined surveillance recommendations, whereas others remain poorly characterized. Across studies, cancer incidence was markedly higher and occurred earlier than in the general population, with lifetime cancer risks approaching 100% in certain syndromes. However, only 44% of studies reported follow-up protocols and fewer than 12% compared surveillance with expectant management. Limited data on postdiagnosis survival further complicates economic evaluations of alternative care strategies. Conclusions: The evidence base for RTRS is heterogeneous, particularly regarding longitudinal outcomes and comparative surveillance strategies. These limitations restrict the parameterization of disease progression models and the evaluation of the cost-effectiveness of surveillance strategies, leaving substantial uncertainty about optimal management strategies. Significant evidence gaps remain in the natural history and management of RTRS. This review provides a foundation for future cost-effectiveness analyses by mapping existing evidence and identifying critical knowledge gaps in RTRS care.

Indexed as

cancer surveillancecost-effectiveness analysisdecision-analytic modelinghereditary cancer syndromesnatural historyrare diseases

Identifiers

PMID42877302
PMCPMC13666261

What Socratic holds

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Registered trials

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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 Socratic graph.