MétaCan
Menu
Back to cohort
Record W2587791251 · doi:10.2147/copd.s123994

Recognition, diagnosis, and treatment of cognitive and psychiatric disorders in patients with COPD

2017· review· en· W2587791251 on OpenAlex
Daniel R. Ouellette, Kim Lavoie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of COPD · 2017
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsHôpital du Sacré-Cœur de Montréal
FundersMylan
KeywordsCOPDMedicineAnxietyDepression (economics)Mood disordersPsychiatryMoodCognitionIntensive care medicine

Abstract

fetched live from OpenAlex

COPD is highly prevalent and associated with substantial morbidity and mortality. Clinicians have long been aware that patients with COPD have problems with cognition and are susceptible to mood (depression) and anxiety disorders. With the increasing awareness of COPD as a multisystem disorder, many studies have evaluated the prevalence of neuropsychiatric conditions in patients with COPD. This review presents evidence regarding the prevalence of neuropsychiatric conditions (cognitive disorders/impairment, depression/anxiety) in COPD, their risk factors, and their impact on relevant outcomes. It also discusses both assessment and treatment of neuropsychiatric conditions and makes recommendations for improved screening and treatment. The findings suggest that clinicians caring for patients with COPD must become familiar with diagnosing these comorbid conditions and that future treatment has the potential to impact these patients and thereby improve COPD outcomes.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.812
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.372
Teacher spread0.331 · 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