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Record W2898753907 · doi:10.1164/rccm.201804-0621ci

Underdiagnosis and Overdiagnosis of Chronic Obstructive Pulmonary Disease

2018· review· en· W2898753907 on OpenAlexaff
Nermin Diab, Andrea S. Gershon, Don D. Sin, Wan C. Tan, Jean Bourbeau, Louis‐Philippe Boulet, Shawn D. Aaron

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversité LavalCentre hospitalier de l'Université LavalUniversity of TorontoMcGill UniversityUniversity of British ColumbiaOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsOverdiagnosisMedicinePulmonary diseaseEpidemiologyIntensive care medicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Chronic obstructive pulmonary disease (COPD) is regarded as one of the leading causes of morbidity and mortality across the world, yet its proper diagnosis remains a challenge. Community-based population studies conducted in North and South America, Europe, Australia, and Asia have revealed that 10% to 12% of adults aged 40 years or older have evidence of persistent airflow limitation on spirometry, but only 20% to 30% of these subjects have been diagnosed with COPD. These studies collectively suggest that approximately 70% of COPD worldwide may be underdiagnosed. Conversely, other studies have shown that between 30% and 60% of patients with a previous physician diagnosis of COPD do not actually have the disease, and hence they have been overdiagnosed. In this review, we define under- and overdiagnosis and explore the prevalence and the burden of under- and overdiagnosis of COPD on both patients and healthcare systems. We further describe potential solutions to reduce the incidence of under- and overdiagnosis of COPD.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.008
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.373
Teacher spread0.336 · 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 designOther design
Domainnot available
GenreReview

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

Citations320
Published2018
Admission routes1
Has abstractyes

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