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Record W4417230205 · doi:10.2147/por.s550533

Derivation and Definitions of Clinical Study Variables for Multiple Long Term Conditions in Patients with Chronic Obstructive Pulmonary Disease: Protocol for a Modified Delphi Methods and Consensus Study on Behalf of the International Cardiovascular and Respiratory Alliance

2025· article· en· W4417230205 on OpenAlexafffund
Tobin Joseph, Mohit Bhutani, Amy Couper, Rachel Pullen, Ramesh Nadarajah, Luís Alves, Felicia Montero-Arias, Riyad Al‐Lehebi, David D. Berg, Nathaniel M. Hawkins, John R. Hurst, Christine Jenkins, Alan Kaplan, Janwillem Kocks, Κonstantinos Κostikas, Carolyn Lam, Thérèse Lapperre, Chin Kook Rhee, Naveed Sattar, Daiana Stolz, Gary Tse, Tonya Winders, David Price, Chris P Gale

Bibliographic record

VenuePragmatic and Observational Research · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of TorontoUniversity of British ColumbiaTD Bank GroupUniversity of Alberta
FundersIdorsia PharmaceuticalsBritish Heart FoundationSanofiKowa CompanyCanadian Institutes of Health ResearchCovis PharmaModernaPurdue UniversityGlaxoSmithKlineNovo NordiskNational Institute for Health and Care ResearchTeva Pharmaceutical IndustriesAstraZenecaMereo BioPharmaPfizer
KeywordsClinical studyProtocol (science)Delphi methodVariety (cybernetics)DelphiTerm (time)Pulmonary disease

Abstract

fetched live from OpenAlex

Background: Standardized variables and their definitions are essential for robust delivery and reporting of clinical studies and quality improvement in chronic obstructive pulmonary disease (COPD). This protocol describes the rationale and methodology for the derivation and definition of clinical study variables for patients with multimorbidity or at high risk of multimorbidity in COPD. Methods and Analysis: We will follow a four-step process. This will include the formation of an Executive Committee, a Steering Committee and an International Consensus Group. We will conduct a systematic review of the literature from which potential clinical study variables will be extracted and their definitions proposed. Using a modified Delphi process, the Steering Committee will select candidate clinical study variables and as necessary refine their definitions. All three groups will then vote and give feedback on the candidate clinical study variables in a modified Delphi process (with rounds until consensus is achieved) to reach a final suite of internationally agreed hierarchically classified clinical study variables. Ethics and Dissemination: It is anticipated that the results will be published in a peer-reviewed journal and presented in a variety of forums. Ethical approval was not required for this study.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.013
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.234
GPT teacher head0.487
Teacher spread0.253 · 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
Published2025
Admission routes2
Has abstractyes

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Same venuePragmatic and Observational ResearchSame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207