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Record W3093323658 · doi:10.1080/17476348.2021.1838278

Association of mild cognitive impairment and characteristic of COPD and overall health status in a cohort study

2020· article· en· W3093323658 on OpenAlexaboutno aff
Abebaw Mengistu Yohannes, Michelle N. Eakin, Janet T. Holbrook, Elizabeth A. Sugar, Robert J. Henderson, Anna M. Baker, Anne Casper, David A. Kaminsky, Alexis Rea, Anne M. Mathews, Loretta G. Que, Joe Ramsdell, Lynn B. Gerald, Robert A. Wise, Nicola A. Hanania

Bibliographic record

VenueExpert Review of Respiratory Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCOPDAnxietyMontreal Cognitive AssessmentDepression (economics)CohortOdds ratioPhysical therapySpirometryHospital Anxiety and Depression ScaleInternal medicineQuality of life (healthcare)Sleep disorderConfidence intervalPsychiatryDiseaseCognitionDementiaAsthma

Abstract

fetched live from OpenAlex

Introduction: We evaluated risk factors and demographic characteristics of associated with mild cognitive impairment (MCI) in patients with COPD.Methods: 220 individuals with COPD enrolled in a cohort study designed to evaluate anxiety conducted at 16 clinical centers. Cognitive impairment was assessed with the Montreal Cognitive Assessment (MoCA), a cutoff score of <26 defined as MCI. Data were collected including spirometry, 6-minute walk test, symptom burden by COPD Assessment Test and dyspnea by Modified Medical Research Council, anxiety measured by Anxiety Inventory of Respiratory Disease, Generalized Anxiety Disorder-7 and Hospital Anxiety Depression Scale, depression by Patient Health Questionnaire-9 and health status by Patient Reported Outcomes Measurement Information System and sleep quality by the Pittsburg Sleep Quality Index.Results: The median age was 65 years and 54% of participants were male. 119(54%) of participants had MCI as classified by MoCA. In multivariable logistic regression, higher odds ratios (OR) (95% confidence interval) for MCI (MoCA) <26 were associated with increased years of age, 1.06 (1.02 -1-09, p<0.003); African-American race, 3.68(1.67-8.11, p<0.001); persistent phlegm, 2 (1.12-3.57, p<0.01) and sleep disturbance, 1.04(1.01-1.08, p<0.01).Conclusions: COPD patients commonly screen positive for MCI. Characteristics associated with MCI included age, African-American race, sleep disturbance and persistent phlegm.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.376
Teacher spread0.341 · 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.

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

Citations23
Published2020
Admission routes1
Has abstractyes

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