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Overdiagnosis of COPD in Subjects With Unobstructed Spirometry
Lea Sator, Andreas Horner, Michael Studnicka, Bernd Lamprecht, Bernhard Kaiser, Mary Ann McBurnie, A. Sonia Buist, Luisa Gnatiuc, David M. Mannino, Christer Janson, Eric Bateman, Peter Burney, Nanshan Zhong, Shengming Liu, Jiachun Lü, Pixin Ran, Dali Wang, Jingping Zheng, Yumin Zhou, Ali Kocabaş, Attila Hancioglu, İsmail Hanta, Sedat Kuleci, Ahmet Sinan Türkyılmaz, Sema Umut, Turgay Ünalan, Torkil Dawes, Anamika Jithoo, Desiree Adams, Edward L. Barnes, Jasper Freeman, Anton Hayes, Sipho Hlengwa, Christine Johannisen, Mariana Koopman, Innocentia Louw, Ina Ludick, Alta Olckers, Johanna Ryck, Janita Storbeck, Þórarinn Gíslason, Bryndis Benedikdtsdottir, Kristin Jörundsdottir, Lovisa Gudmundsdottir, Sigrún Gudmundsdóttir, Gunnar Gundmundsson, Ewa Niżankowska‐Mogilnicka, Jakub Frey, Rafał Harat, Filip Mejza, Paweł Nastałek, Andrzej Pająk, Wojciech Skucha, Andrzej Szczeklik, Magda Twardowska, Tobias Welte, Isabelle Bodemann, Henning Geldmacher, Alexandra Schweda-Linow, Amund Gulsvik, Tina Endresen, Lene Svendsen, Wan C. Tan, Wen Wang, John Cain, Rebecca L. Copeland, Dana Hazen, Jennifer Methvin, Renato B. Dantes, Lourdes Amarillo, Lakan U. Berratio, Lenora Fernandez, Norberto A. Francisco, Gerard S. Garcia, Teresita S. de Guia, Luisito F. Idolor, Sullian S. Naval, Thessa Reyes, Camilo C. Roa, Ma. Flordeliza Sanchez, Leander P. Simpao, Christine Jenkins, Guy B. Marks, Taylor Bird, Paola Espinel, Kate Hardaker, Brett G. Toelle, Caron Amor, James Potts, Michael Tumilty, Fiona McLean, Emiel F.�M. Wouters, Geertjan Wesseling, Cristina Bárbara, Fátima Rodrigues, Hermínia Brites Dias, João Cardoso, João Almeida, Maria João Matos, Paula Simão, Moutinho Santos, Reis Ferreira, Inga Sif Ólafsdóttir, Katarina Nisser, Ulrike Spetz-Nyström, Gunilla Hägg, Gun-Marie Lund, Rain Jögi, Hendrik Laja, Katrin Ulst, Vappu Zobel, Toomas-Julius Lill, Parvaiz A Koul, Sajjad Malik, Nissar A. Hakim, Umar Hafiz Khan, Rohini Chowgule, Vasant Shetye, Jonelle Raphael, Rosel Almeda, Mahesh Tawde, Rafiq Tadvi, Sunil Katkar, Milind Kadam, Rupesh Dhanawade, Umesh Ghurup, Imed Harrabi, Meriam Denguezli, Zouhaïr Tabka, Hager Daldoul, Zaki Boukheroufa, Firas Chouikha, Wahbi Belhaj Khalifa, Fernando Ayuyao, Cecil Z. Tady, Daniel T. Tan, Sylvia Banal-Yang, Vincent M. Balanag, Maria Teresita N. Reyes, Sanjay Juvekar, Siddhi Hirve, Somnath Sambhudas, Bharat Chaidhary, Meera Tambe, Savita Pingale, Arati Umap, Archana Umap, Nitin Shelar, Sampada Devchakke, Sharda Chaudhary, Suvarna Bondre, Savita Walke, Ashleshsa Gawhane, Anil Sapkal, Rupali Argade, Vijay Gaikwad, Sundeep Salvi, Bill Brashier, Jyoti Londhe, Sapna Madas, Daniel Obaseki, Gregory E. Erhabor, Olayemi Awopeju, Olufemi Adewole
Bibliographic record
VenueCHEST Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
FundersMedical Research CouncilUniversity of Cape TownUppsala UniversitetUniversity of British ColumbiaLandspítali HáskólasjúkrahúsSouth African Thoracic SocietySouth African Medical Research CouncilInternational Development Research CentreWellcome TrustParacelsus Medizinische PrivatuniversitätBoehringer IngelheimMedizinischen Hochschule HannoverEli Lilly and CompanyAstraZenecaChiesi FarmaceuticiTakeda Pharmaceutical CompanyUniversity of KentuckyEuropean Respiratory SocietyAmerican Thoracic SocietyPfizerGlaxoSmithKline
KeywordsMedicineOverdiagnosisCOPDSpirometryAsthmaPopulationInternal medicineWheezePhysical therapy
Abstract
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 imitationNot 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)0.002
metaresearch head score (Gemma)0.017
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 head0.014
GPT teacher head0.277
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations73
Published2019
Admission routes1
Has abstractno