Evidence map›Paper›PMID 39578824›Full record

ArticleBMC cancer2024

Relevant factors for policy concerning comprehensive genomic profiling in oncology: stakeholder perspectives.

Lucas Frederik van Schaik, Ellen Gurumay Engelhardt, Wim Herbert van Harten, Valesca Pavlawna Retèl

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
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.

Lucas Frederik van SchaikDivision of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90203, Amsterdam, 1006 BE, The Netherlands.
Ellen Gurumay EngelhardtDivision of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90203, Amsterdam, 1006 BE, The Netherlands.
Wim Herbert van HartenDivision of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90203, Amsterdam, 1006 BE, The Netherlands.
Valesca Pavlawna RetèlDivision of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90203, Amsterdam, 1006 BE, The Netherlands. v.retel@nki.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive genomic profiling (CGP) can identify targets beyond standard of care, potentially revolutionizing personalized cancer management. However, conducting well designed studies in this rapidly evolving field is complex and demands time and investments. Consequently, the total added value of CGP remains uncertain. Clinical benefit and costs often are driving factors in coverage decisions. Recently, five additional factors were identified in the literature that can influence the choice for targeted profiling vs. CGP, specifically: "feasibility", "test journey patient/physician", "wider implications of diagnostic results", "organization of laboratories", and "scientific spillover". The objective of the current study is to examine the role and importance assigned to these five additional factors for a comprehensive technology assessment by different stakeholders.

methodsPurposive sampling was used to identify respondents from 4 stakeholder groups (i.e., medical specialists, molecular specialists, patient representatives, and policymakers) from different regions and hospital types (academic vs. non-academic) in the Netherlands. In semi-structured interviews, respondents scored the importance to decision-making of the five factors on a 0 (not important) to 5 (essential) scale. Reasoning behind the scores were elicited using open-ended follow-up questions. Transcripts were independently double-coded by two researchers using thematic analysis.

resultsNineteen stakeholders (100% response rate; medical specialists (n = 7), molecular specialists (n = 7), patient representatives (n = 2), and policymakers (n = 3)) were interviewed. We observed differences between stakeholders in the relative importance assigned to the factors (range of median importance scores: 2-5). Overall, "wider implications of diagnostic results", primarily CGP's potential to identify additional treatment options, was deemed the most important factor alongside clinical benefit and costs in decision-making about CGP (median range: 3-5). While the "organization of laboratories" was considered less important (median range: 3-4), opposing arguments and preferences regarding the organization of laboratories were identified, with participants from academic centers preferring a centralized approach whilst non-academics preferred a decentralized approach.

conclusionsStakeholders deemed "wider implications of diagnostic results", "feasibility", and "test journey" the most important considerations for decision-making about targeted profiling vs. CGP alongside clinical benefit and costs. For policy decision-making, it is important to understand the arguments behind the heterogeneous opinions, often related to the setting they originate from.

Indexed as

GenomicsMedical OncologyNeoplasmsStakeholder ParticipationDecision MakingGene Expression ProfilingHealth PolicyHumansNetherlandsPrecision MedicineComprehensive genomic profilingHealth technology assessmentNext-generation sequencingPersonalized medicinePrecision oncologyValue

Identifiers

PMID39578824
PMCPMC11583653

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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 OpenQuestion graph.