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Record W2769451173 · doi:10.1016/j.jamda.2017.09.003

Redefining Cut-Points for High Symptom Burden of the Global Initiative for Chronic Obstructive Lung Disease Classification in 18,577 Patients With Chronic Obstructive Pulmonary Disease

2017· review· en· W2769451173 on OpenAlexafffund
Dionne E. Smid, Frits M.E. Franssen, Maria Gonik, Marc Miravitlles, Ciro Casanova, Borja G. Cosío, Pilar de Lucas‐Ramos, José M. Marı́n, Cristina Martínez González, Isabel Mir, Joan B. Soriano, Juan P. de‐Torres, Àlvar Agustí, Nart Bedin Atalay, Julia M. R. Billington, Afroditi Boutou, Stefanie Brighenti-Zogg, Emma Chaplin, Samantha Coster, James Dodd, Selina Dürr, Alberto Fernández‐Villar, Miriam Groenen, Miguel Guimarães, Karel Hejduk, Victoria Higgins, Nicholas S Hopkinson, Nobuyuki Horita, Sarah Houben‐Wilke, Daisy J.A. Janssen, Melissa Jehn, Rudolf A. Joerres, Annika Karch, Julia L. Kelly, Yu‐Il Kim, Hiroshi Kimura, Vladimír Koblížek, Janwillem Kocks, Samantha S.C. Kon, Namhee Kwon, Inês Ladeira, Sang‐Do Lee, Jörg D. Leuppi, Nicholas Locantore, José Luís López-Campos, William D‐C Man, Lana Maričić, Laura Mendoza, David Miedinger, Florin Mihălţan, Seigo Minami, Thys van der Molen, Trevor Murrells, Nienke Nakken, Yu Nishijima, Ian Norman, Barbora Novotná, Denis E. O’Donnell, Yoshitaka Ogata, Eanes Delgado Barros Pereira, James Piercy, David Price, Chaicharn Pothirat, Natya Raghavan, Thomas Ringbæk, Dimitar Sajkov, Naseh Sigari, Sally Singh, Mark Small, Guilherme Silva, Rebecca Tanner, Ioanna Tsiligianni, Baykal Tülek, Νikolaos Tzanakis, Lowie E.G.W. Vanfleteren, Henrik Watz, Katherine A. Webb, Emiel F.�M. Wouters, Guogang Xie, Masanori Yoshikawa, Martijn A. Spruit

Bibliographic record

VenueJournal of the American Medical Directors Association · 2017
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcMaster UniversityKingston General HospitalQueen's University
FundersInstitute of Circulatory and Respiratory HealthCanadian Institutes of Health ResearchQueen's UniversityBritish Columbia Lung AssociationCanadian Lung AssociationEli Lilly and CompanyAstraZenecaRespiratory Effectiveness GroupAmgenCanadian Thoracic SocietyReseau canadien de recherche respiratoireGrifolsAstraZeneca CanadaNational Institute for Health and Care ResearchTeva Pharmaceutical IndustriesBritish Lung FoundationPfizerGlaxoSmithKline
KeywordsMedicineCOPDSpirometryObstructive lung diseaseYouden's J statisticGold standard (test)Receiver operating characteristicInternal medicinePhysical therapyPulmonary diseaseAsthma

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.034
GPT teacher head0.352
Teacher spread0.318 · 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 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

Citations53
Published2017
Admission routes2
Has abstractno

Explore more

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