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Changes in cognitive status across clinical stages in COPD

2015· article· en· W2279610808 on OpenAlexaboutno aff
Isabel López-Torres, Maríe Carmen Valenza, Silvia Merlos-Navarro, Irene Torres‐Sánchez, Irene Cabrera‐Martos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsCOPDExacerbationMedicineCognitionPsychomotor learningMontreal Cognitive AssessmentRecallGold standard (test)Physical therapyInternal medicinePsychiatryCognitive impairmentPsychology

Abstract

fetched live from OpenAlex

Introduction: COPD has been found to cause a general cognitive decline especially in cognitive functions like attention, psychomotor speed, memory and learning, visuospatial and constructional abilities, executive functions, and language skills. Clinical severity has been proposed as the main factor influencing cognitive impairment on COPD subjects. Aim and objectives: To compare the changes on cognitive status across two different clinical situations on COPD patients with severe and very severe COPD (GOLD 3 and GOLD 4, respectively). Methods: 70 COPD patients were evaluated at admission due to an Acute Exacerbation of COPD (AECOPD) and in stable stage. Montreal Cognitive Assessment was used to assess cognitive functions. The AECOPD measures were performed at hospital and stable measures were performed at patients home. Results: significant differences on cognitive status between both COPD severities at exacerbation (21.77 ± 2.30 vs 18.75 ± 3.60) with lower cognitive performance on MoCA total score on GOLD 4 patients . While, no significant differences were found on stable stage. Attention, language, abstraction, delayed recall and total score showed significant bigger changes on more severe COPD patients. Conclusions: Our study shows that cognitive status is modifiable during clinical situations on 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 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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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

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 head0.118
GPT teacher head0.453
Teacher spread0.335 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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