Evidence map›Paper›PMID 32037479›Full record

ArticleThe patient2020

Finding Out What Matters in Decision-Making Related to Genomics and Personalized Medicine in Pediatric Oncology: Developing Attributes to Include in a Discrete Choice Experiment.

Maria C McCarthy, Richard De Abreu Lourenco, Laura J McMillan, Elena Meshcheriakova, Alice Cao, Lynn Gillam

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Article in The patient, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. How is Value Defined in Molecular Testing in Cancer? A Scoping Review.Applied health economics and health policy · 2025
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  8. Context factors in clinical decision-making: a scoping review.BMC medical informatics and decision making · 2025
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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

6 authors.

Maria C McCarthyClinical Sciences, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, 3052, Australia. Maria.mccarthy@rch.org.au.ORCID 0000-0001-6543-3921
Richard De Abreu LourencoCentre for Health Economics Research and Evaluation, University of Technology Sydney, 1-59 Quay Street, Haymarket, NSW, 2000, Australia.
Laura J McMillanClinical Sciences, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Elena MeshcheriakovaCentre for Health Economics Research and Evaluation, University of Technology Sydney, 1-59 Quay Street, Haymarket, NSW, 2000, Australia.
Alice CaoClinical Sciences, Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Lynn GillamMelbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, 3052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment decision-making in pediatric oncology can be complex. Recent advances in genome sequencing and novel or 'personalized' therapies potentially increases the complexity of decision-making and treatment options.

objectivesThis study explored the views and experiences of healthcare providers (HCPs) and parents with respect to decision-making in difficult-to-treat cancers, including genomic decision-making.

methodsA two-phase qualitative study was undertaken in which oncologists and nurses and parents of children with relapsed and refractory cancers were interviewed using a semi-structured interview guide. Data were analyzed thematically, with a focus on measurable themes relevant to the development of candidate attributes for a discrete choice experiment (DCE). Secondly, a review of studies that utilized stated preference experiments in the fields of genomics, medical decision-making, and pediatrics was undertaken and compared with the candidate attributes identified from interviews.

resultsSix candidate attributes were developed from the interview themes: clinical benefit, quality of life (QoL) including both treatment effects and functionality, likelihood of a target, cost (who pays), recommendation of HCP or extent family supported the decision, and whether a biopsy was needed. Two further candidate attributes were identified from the literature review: severity of illness and cost (dollar amount).

conclusionsThis study identified eight candidate attributes that will be further validated prior to developing a DCE aimed at better understanding factors influencing decision-making related to genomic sequencing and personalized medicine. This study and the proposed DCE will contribute to improving ethical and clinical practices in the application of novel genomic technology in pediatric oncology.

Indexed as

Choice BehaviorDecision MakingGenomicsPediatricsPrecision MedicineAdultAustraliaFemaleHumansInterviews as TopicMaleMiddle AgedNeoplasmsNew ZealandQualitative ResearchYoung Adult

Identifiers

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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 OpenQuestion graph.