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Record W4287678487

A Proposed Approach to Chronic Airway Disease (CAD) Using Therapeutic Goals and Treatable Traits: A Look to the Future

2020· article· en· W4287678487 on OpenAlexaboutno aff
Pérez de Llano L, M Miravitlles, R Golpe, Alvarez-Gutiérrez FJ, C Cisneros, Cecilia Gonzalez Almonacid, E Martinez-Moragon, Gonzalez-Barcala FJ, D Ramos-Barbón, V Plaza, Lopez-Campos JL, de-Torres JP, C Casanova, Garcia Rivero JL, Rodriguez Hermosa J, Calle Rubio M, Soler-Cataluña JJ, Borja G. Cosío

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsnot available
Fundersnot available
KeywordsCADMedicineDiseaseIntensive care medicineChronic diseaseComputer scienceComputational biologyBiologyEngineeringInternal medicineEngineering drawing
DOInot available

Abstract

fetched live from OpenAlex

Luis Pérez de Llano,1 Marc Miravitlles,2 Rafael Golpe,1 Francisco Javier Alvarez-Gutiérrez,3 Carolina Cisneros,4 Carlos Almonacid,5 Eva Martinez-Moragon,6 Francisco-Javier Gonzalez-Barcala,7 David Ramos-Barbón,8 Vicente Plaza,8 Jose Luis Lopez-Campos,3 Juan Pablo de-Torres,9 Ciro Casanova,10 Juan Luis Garcia Rivero,11 Juan Rodriguez Hermosa,12 Myriam Calle Rubio,12 Juan Jose Soler-Cataluña,13 Borja G Cosio14 1Pneumology Service, University Hospital Lucus Augusti, Lugo, EOXI Cervo, Lugo, Monforte, Spain; 2Pneumology Service, Hospital Universitari Vall d’Hebron, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, CIBERES, Barcelona, Spain; 3Pneumology Service, Hospital Universitario Virgen del Rocio, Seville, Spain; 4Pneumology Service, La Princesa University Hospital, Madrid, Research Institute La Princesa IIP, Madrid, Spain; 5Pneumology Service, Ramón y Cajal Hospital (Ramon y Cajal Health Research Institute, IRYCIS), Madrid, Spain; 6Pneumology Service, Hospital Universitario Dr Peset, Valencia, Spain; 7Faculty of Medicine at the University of Santiago de Compostela, Pneumology Service of the University Clinical Hospital of Santiago de Compostela, CIBERES, Santiago de Compostela, Spain; 8Pneumology Service, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; 9Division of Respirology and Sleep Medicine, Queen’s University, Canada, ON, Canada; 10Pneumology Service, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz De Tenerife, Spain; 11Pneumology Service, Hospital de Laredo, Laredo, Spain; 12Pneumology Service and Faculty of Medicine, Hospital Clínico San Carlos, Complutense University of Madrid, Madrid, Spain; 13Pneumology Service, Hospital Arnau de Vilanova, Valencia, Spain; 14Pneumology Service, Son Espases University Hospital, IdISBa, CIBERES, Clínica Quirón-Rotger, Palma, SpainCorrespondence: Borja G CosioPneumology Service, Hospital Universitario Son Espases, IdISBa, CIBERES, Clínica Quirón-Rotger, Ctra. de Valldemossa 79, Palma de Mallorca 07010, SpainTel +34 871 206714 Ext 76714Fax +34 871 909724Email borja.cosio@ssib.esAbstract: Chronic airflow obstruction affects a wide range of airway diseases, the most frequent of which are asthma, COPD, and bronchiectasis; they are clearly identifiable in their extremes, but quite frequently overlap in some of their pathophysiological and clinical characteristics. This has generated the description of new mixed or overlapping disease phenotypes with no clear biological grounds. In this special article, a group of experts provides their perspective and proposes approaching the treatment of chronic airway disease (CAD) through the identification of a series of therapeutic goals (TG) linked to treatable traits (TT) – understood as clinical, physiological, or biological characteristics that are quantifiable using biomarkers. This therapeutic approach needs validating in a clinical trial with the strategy of identification of TG and treatment according to TT for each patient independently of their prior diagnosis.Keywords: airflow obstruction, biomarker, personalised medicine, COPD asthma overlap

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.277
GPT teacher head0.531
Teacher spread0.254 · 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.

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

Citations3
Published2020
Admission routes1
Has abstractyes

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