MétaCan
Menu
Back to cohort

PB2708: SYMPTOM BURDEN AND ITS IMPACT ON DAILY LIFE IN PATIENTS WITH IDIOPATHIC MULTICENTRIC CASTLEMAN’S DISEASE (IMCD): AN EXPLORATORY ANALYSIS OF THE SURVEY’S INTERNAL CONSTRUCT VALIDITY

2023· article· en· W4385704694 on OpenAlexaboutno aff
Matthew Franklin, Francis Shupo, Emily Jones, Nicola J. Mason, Grace Wayi-Wayi, Karan Kanhai, Natasa Zibelnick, Mileva Repasky, Kelly Makarounas‐Kirchmann, Sudipto Mukherjee, John Brazier

Bibliographic record

VenueHemaSphere · 2023
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConstruct validityDiseaseQuality of life (healthcare)Likert scaleScale (ratio)Construct (python library)Physical therapyFamily medicineClinical psychologyInternal medicinePsychometricsPsychologyNursing

Abstract

fetched live from OpenAlex

Topic: 36. Ethics and health economics Background: Idiopathic multicentric Castleman disease (iMCD) is a rare, life-threatening lymphoproliferative disorder characterized by systemic inflammatory symptoms, generalized lymphadenopathy, polyclonal lymphoproliferation, and multiple organ system dysfunction caused by a hyperinflammatory state. Patients experience high symptom burden and the mainstay of iMCD management is symptom control and preventing severe complications. Consequently, the quantification of symptoms and their impact on the daily lives could be a valuable clinical tool to monitor disease status, functional state, and response to treatment. Aims: Efforts to catalogue and understand how iMCD symptoms impact daily living from an international survey have been reported elsewhere. We conduct an exploratory analysis of the survey’s psychometric properties in terms of internal construct validity (i.e., assessing against factors in the same questionnaire with a similar construct) to assess its suitability for the generation of a Symptom Burden Scale. Methods: An online symptom burden survey specifically tailored to iMCD, was developed, based on literature and clinical expert advice. This survey was distributed within iMCD communities in Australia, Canada, the UK, and the US through the Castleman Disease Collaborative Network (CDCN). Ethics approval and patient consent were obtained. Following analysis of the responses relating to symptom burden, their severity (measured on a Likert scale: range 0-4), and the impact on their daily lives, exploratory analyses regarding the strength of the relationship between symptoms and their impact on daily activities were undertaken. Firstly, interviews with clinicians, patients and caregivers were conducted to understand whether response could be grouped as the same or related to one another. If items were related, the expected strength of the relationship and, for the clinical expert interviews only, the potential direction of relationship, were further explored. Secondly, hypotheses were generated a priori from these interviews and tested to establish the construct, convergent and discriminant validity of the survey. Spearman’s rank absolute correlation strength associated p-value, and Cohen’s d standardized effect size methods were utilized. Results: The survey was implemented from April–November 2020, with 51 respondents reporting confirmed iMCD diagnosis from a healthcare practitioner. Patients were predominantly female (56.9%), of mean age of 47.4 years (SD 11.9) and white (74.5%). The mean number of symptoms reported was 6.7 (SD: 5.2, Range: 0-22). Three a priori hypothesis sets were generated: 1. How specific symptoms relate to each other; 2. Number of symptoms and their relationship with aspects of daily life; and 3. Receiving treatment and the overall relationship with aspects of daily life. Although the results did support or negate all a priori hypotheses, a strong significant correlation between having a higher number of symptoms and greater adverse impact on daily life was identified. Summary/Conclusion: Despite sample size limitations for complex statistical analyses, this exploratory analysis provides confidence in the internal construct validity of the survey. It supports use of this disease burden questionnaire as a tool for the assessment of patients’ symptom state and evaluation of response in daily practice or clinical research. Keywords: Castleman’s disease, Patient

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.282
Teacher spread0.259 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHemaSphereSame topicViral-associated cancers and disordersFrench-language works237,207