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Cognitive Impairment in Patients With Advanced Heart Failure and Its Implications on Decision-Making Capacity

2011· review· en· W1596624465 on OpenAlexaboutno aff
Moisés Gaviria, Neil H. Pliskin, Adam Kney

Bibliographic record

VenueCongestive Heart Failure · 2011
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHeart failureNeuropsychologyCognitionCompetence (human resources)Psychomotor learningReferralPopulationExecutive functionsIntensive care medicinePsychiatryFamily medicineCardiologyPsychology

Abstract

fetched live from OpenAlex

Cognitive impairment (CI) is a multifaceted entity that entails more than just memory loss. Deficits in other domains, most importantly executive function, can have profound effects on health outcomes in afflicted patients. The prevalence of CI among the heart failure population is exceedingly high, and even higher so among patients with advanced heart failure (AHF). These patients display consistent declines in memory, attention, psychomotor abilities, and executive function. Such deficits interfere with patients' abilities to recognize worsening symptoms, adhere to complex medication regimens, and make sound decisions pertaining to medical care. Regular evaluation of cognitive status using instruments such as the Montreal Cognitive Assessment is a fast, reliable method that allows physicians who treat patients with AHF to anticipate these obstacles to treatment and act accordingly. Referral for more comprehensive neuropsychological evaluation should be considered for patients with unexplained declines from baseline, legal determination of competence, and for heart transplant or ventricular assist device placement candidates.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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 designNot applicable
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

Citations61
Published2011
Admission routes1
Has abstractyes

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