Evidence map›Paper›PMID 38472738›Full record

ArticlePharmacoEconomics2024

Understanding Clinician Preferences for Treatment Attributes in Oncology: A Discrete Choice Experiment of Oncologists' and Urologists' Preferences for First-Line Treatment of Locally Advanced/Unresectable Metastatic Urothelial Carcinoma in Five European Countries.

Laura Panattoni, Mairead Kearney, Natalie Land, Thomas Flottemesch, Patrick Sullivan, Melissa Kirker, Murtuza Bharmal, Brett Hauber

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Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Laura PanattoniPRECISIONheor, New York, NY, USA. laura.panattoni@precisionvh.com.ORCID 0000-0002-5081-5043
Mairead KearneyMerck Healthcare KGaA, Darmstadt, Germany.
Natalie LandPRECISIONheor, New York, NY, USA.
Thomas FlottemeschPRECISIONheor, New York, NY, USA.
Patrick SullivanPRECISIONheor, New York, NY, USA.
Melissa KirkerPfizer, New York, NY, USA.
Murtuza BharmalEMD Serono, Research & Development Institute, Inc., Billerica, MA, USA.
Brett HauberPfizer, New York, NY, USA.
Pfizer (United States) · USMerck (Germany) · DEOno Pharmaceutical (United States) · USPrecision for Medicine (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrior discrete choice experiments (DCE) in oncology found that, on average, clinicians rank survival as the most important treatment attribute. We investigate heterogeneity in clinician preferences within the context of first-line treatment for advanced urothelial carcinoma in Spain, France, Italy, Germany, and the UK.

methodsThe online DCE included 12 treatment choice tasks, each comparing two hypothetical therapy profiles defined by treatment attributes: grade 3/4 treatment-related adverse events (TRAEs), induction and maintenance administration schedules, progression-free survival, and overall survival (OS). We used a random parameters logit model to estimate attribute relative importance (RI) (0-100%) and generate preference shares for four treatment profiles. Results were stratified by country. Preference heterogeneity was evaluated by latent class analysis.

resultsIn August and September 2022, 498 clinicians (343 oncologists and 155 urologists) completed the DCE. OS had the strongest influence on clinicians' preferences [RI = 62%; range, 51.6% (Germany) to 63.7% (Spain)] followed by frequency of grade 3/4 TRAEs (RI = 27%). Among treatment profiles, the chemotherapy plus immune checkpoint inhibitor maintenance therapy profile had the largest preference share [51%; range, 38% (Italy) to 56% (UK)]. Four latent classes of clinicians were identified (N = 469), with different treatment profile preferences: survival class (30.1%), trade-off class (22.4%), no strong preference class (40.9%), and aggressive treatment class (6.6%). OS was not the most important attribute for 30.0% of clinicians.

conclusionWhile average sample results were consistent with those of prior DCEs, this study found heterogeneity in clinician preferences within and across countries, highlighting the diversity in clinician decision making in oncology.

Indexed as

Choice BehaviorOncologistsUrologic NeoplasmsUrologistsAdultAgedAttitude of Health PersonnelCarcinoma, Transitional CellEuropeFemaleHumansMaleMedical OncologyMiddle AgedPractice Patterns, Physicians'Progression-Free Survival

Identifiers

PMID38472738
OpenAlexW4392679367

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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.