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Record W4389259098 · doi:10.1182/blood-2023-186256

Symptom Burden in Idiopathic Multicentric Castleman Disease: Protocol for the Development of a Novel Standardized Patient Reported Outcome Measure

2023· article· en· W4389259098 on OpenAlexaboutno aff
Sudipto Mukherjee, Philip A. Powell, Jill Carlton, Clara Murukia, Antonio Adolfo Guerra Soares Brandão, Karthik Ramasamy, F. Shupo, Grace Wayi-Wayi, Karan Kanhai, Kelley Dacus, Kelly Makarounas‐Kirchmann, Anju Keetharuth

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPromMedicineQuality of life (healthcare)Protocol (science)DiseaseClinical trialPatient-reported outcomeContent validityStakeholderStage (stratigraphy)Physical therapyFamily medicineAlternative medicineInternal medicineClinical psychologyPathologyPsychometricsNursing

Abstract

fetched live from OpenAlex

Background and Significance Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder with a high symptom burden. These symptoms impact many aspects of daily life for people living with iMCD, including work/education, social life, travel, mobility, personal relationships and sexual functioning. Despite this significant impact [Shupo F et al. Hemasphere 2022, Jun 23;6(Suppl):802-803], no validated disease-specific measure exists to assess symptom burden in iMCD. This is a major unmet need, considering the mainstay of iMCD treatment is symptom control and preventing serious complications. A novel symptom burden scale for iMCD is therefore timely and important and would be a beneficial clinical tool, both in routine clinical practice and clinical trials, for the comprehensive assessment of disease burden at diagnosis, during progression, and for treatment efficacy. Study Design and Methods A protocol for the development of a novel, standardized, patient reported outcome measure (PROM) for assessing symptom burden in iMCD has been developed and approved by a multi-stakeholder group (including patients, clinicians, industry representatives, and researchers). A four-stage development process has been proposed, alongside the generation of a novel patient advisory group and wider multi-stakeholder advisory group. In stage one, draft PROM content will be generated from existing literature and expert opinions. In stage two, the content validity of the draft PROM will be assessed in online qualitative interviews with people living with iMCD, with any revisions to the content decided in consultation with patient and expert advisors. In stage three, the revised PROM will be administered alongside existing measures of symptom burden and/or health-related quality of life to evaluate its psychometric performance and inform decisions on content for the final PROM, using classical test theory and/or Rasch psychometric analyses. The PROM will be finalized based on the qualitative and quantitative evidence generated in consultation with project advisors. Finally, in stage four, the PROM will be re-administered to observe change in symptom burden over time. This will be complemented with qualitative interviews in a mixed methods design to estimate a minimally clinically important difference (MCID) for the measure. The project will involve investigators and iMCD patients from the U.S., U.K., Canada, Australia, New Zealand and Brazil. Conclusion This is an international effort to develop and validate a novel iMCD symptom burden PROM through a collaboration of iMCD patients, clinical, health economics, public health, statistical, psychometrics, and industry experts. The development of the measure follows U.S. Food and Drug Administration (FDA) regulatory guidance, with modifications for rare diseases as required. Special Considerations This project has been submitted to clintrials.gov, documentation sent to ASH and Secretary, and awaiting approval of the submission.

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)0.108
metaresearch head score (Gemma)0.071
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.108
Threshold uncertainty score0.571

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1080.071
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0040.004
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0040.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0350.010

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 head0.057
GPT teacher head0.334
Teacher spread0.277 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations0
Published2023
Admission routes1
Has abstractyes

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