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Identifying a Core Domain Set to Assess Psoriasis in Clinical Trials

2018· article· en· W2807228898 on OpenAlexfundaboutno aff
Kristina Callis Duffin, Joseph F. Merola, Robin Christensen, John Latella, Amit Garg, Alice B. Gottlieb, April W. Armstrong

Bibliographic record

VenueJAMA Dermatology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesAllerganLEO PharmaIncyteParker Institute for Cancer ImmunotherapyDermiraSun PharmaRegeneron PharmaceuticalsCelgeneBiogenValeant Pharmaceuticals InternationalSanofiEli Lilly and CompanyBristol-Myers SquibbAmgenPfizerOak Foundation
KeywordsDelphi methodMedicineStakeholderDelphiClinical trialVotingFamily medicineStakeholder engagementMedical educationPublic relationsPolitical sciencePathologyArtificial intelligence

Abstract

fetched live from OpenAlex

Importance: There is no consensus on which domains should be measured or which instruments should be used in clinical trials for psoriasis therapies. Objective: To achieve international consensus among psoriasis stakeholders on a core set of domains that should be measured in all psoriasis clinical trials. Design, Setting, and Participants: Literature review, pre-Delphi survey exercises, nominal group discussions, and audience voting at 4 stakeholder meetings were used to develop candidate domains for 2 rounds of a Delphi survey. Stakeholders were patients or advocates of patients with psoriasis and health care professionals (HCPs) with expertise in psoriasis, including physicians, scientists, advocacy organization representatives, and regulators. Delphi surveys were conducted electronically from October through December 2015 and between September and October 2016. Stakeholder discussions with audience response voting were conducted at live meetings in the United States, Canada, and Italy from January 2013 to December 2016 to refine and ratify the core set of domains. Main Outcomes and Measures: Two rounds of an electronic Delphi survey were used to determine consensus. A domain was considered "core" (ie, should be measured in all trials) if a threshold consensus of at least 70% was met in both patient and HCP groups. Domains meeting consensus in only 1 group were considered to be important but were not required to be measured in all trials ("middle ring"). These domains were included for rerating in round 2. Domains that did not meet consensus in either of the groups ("outer ring") were considered to be of uncertain importance and were placed in the research agenda. Results: In round 1 of the Delphi survey, 107 HCPs and 14 patients participated. Most HCPs (72 [67%]) were dermatologists between 46 and 64 years old (71 [66%]), white (78 [73%]), and male (75 [70%]) from North America (60 [57%]) and Europe (34 [32%]).There were 10 pharmaceutical industry clinical or health economic scientists, 3 advocacy organization representatives, 2 regulatory agency representatives, and 5 "other." In the second round, 77 HCPs and 15 patients participated. Of the 20 candidate domains, the following 6 met consensus as core domains: skin manifestations, psoriasis and psoriatic arthritis symptoms, health-related quality of life, investigator global assessment, patient global assessment, and treatment satisfaction. Secondary skin manifestations as well as nail, inverse, genital, and guttate psoriasis were classified as important but not mandatory. Psoriatic arthritis signs, work productivity or participation, economic impact (direct and indirect cost), and cardiovascular disease comprised the research agenda. Conclusions and Relevance: This iterative Delphi process yielded international consensus among professional and patient stakeholders on 6 domains that should be measured in all clinical trials for psoriasis. Future International Dermatology Outcome Measures group efforts will focus on development of a core outcome measurement set for psoriasis trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.507
metaresearch head score (Gemma)0.594
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.493
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5070.594
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0150.008
Science and technology studies0.0040.008
Scholarly communication0.0110.010
Open science0.0050.014
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.625
GPT teacher head0.630
Teacher spread0.005 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations61
Published2018
Admission routes2
Has abstractyes

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