Evidence map›Paper›PMID 38007397›Full record

ArticleThe oncologist2024

Patient Priorities Concerning Treatment Decisions for Advanced Neuroendocrine Tumors Identified by Discrete Choice Experiments.

Matthew Anaka, David Chan, Sharon Pattison, Alia Thawer, Bryan Franco, Lesley Moody, Christopher Jackson, Eva Segelov, Simron Singh

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 8 institutions in 4 countries.

Matthew AnakaCross Cancer Institute, Alberta Health Services, Edmonton, Alberta, Canada.ORCID 0000-0002-4411-0581
David ChanNorthern Sydney Cancer Centre, St Leonards, New South Wales, Australia.
Sharon PattisonDepartment of Medicine, Otago Medical School, University of Otago, Dunedin, Otago, New Zealand.
Alia ThawerOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Bryan FrancoDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Lesley MoodyPrincess Margaret Cancer Centre, Toronto, Ontario, Canada.
Christopher JacksonDepartment of Medicine, Otago Medical School, University of Otago, Dunedin, Otago, New Zealand.
Eva SegelovDepartment of Clinical Research, University of Bern, Bern, Switzerland.ORCID 0000-0002-4410-6144
Simron SinghDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
University of Otago · NZAlberta Health Services · CANorthern Cancer Institute · AUPrincess Margaret Cancer Centre · CASunnybrook Health Science Centre · CAUniversity of Alberta · CAUniversity of Bern · CHUniversity of Toronto · CA

Funding

Commonwealth Neuroendocrine Tumour research collaborative
6 · The paper itself

Abstract

backgroundPatients with advanced neuroendocrine tumors (NETs) have multiple treatment options. Ideally, treatment decisions are shared between physician and patient; however, previous studies suggest that oncologists and patients place different value on treatment attributes such as adverse event (AE) rates. High-quality information on NET patient treatment preferences may facilitate patient-centered decision making by helping clinicians understand patient priorities.

methodsThis study used 2 discrete choice experiments (DCE) to elicit preferences of NET patients regarding advanced midgut and pancreatic NET (pNET) treatments. The DCEs used the "potentially all pairwise rankings of all possible alternatives" (PAPRIKA) method. The primary objective was to determine relative utility rankings for treatment attributes, including progression-free survival (PFS), treatment modality, and AE rates. Ranking of attribute profiles matching specific treatments was also determined. Levels for treatment attributes were obtained from randomized clinical trial data of NET treatments.

resultsOne hundred and 10 participants completed the midgut NET DCE, and 132 completed the pNET DCE. Longer PFS was the highest ranked treatment attribute in 64.5% of participants in the midgut NET DCE, and in 59% in the pNET DCE. Approximately, 40% of participants in both scenarios prioritized lower AE rates or less invasive treatment modalities over PFS. Ranking of treatment profiles in the midgut NET scenario identified 60.9% of participants favoring peptide receptor radionuclide therapy (PRRT), and 30.0% somatostatin analogue dose escalation.

conclusionNET patients have heterogeneous priorities when choosing between treatment options based on the results of 2 independent DCEs. These results highlight the importance of shared decision making for NET patients.

Indexed as

Neuroectodermal Tumors, PrimitiveNeuroendocrine TumorsHumansPatient PreferenceRandomized Controlled Trials as TopicSomatostatinSomatostatinantineoplastic protocolsdecision makingneuroendocrine tumorspatient preferences

Identifiers

PMID38007397
PMCPMC10911922
OpenAlexW4389005089

What OpenQuestion holds

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LicenceCC BY
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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.