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Record W2032682778 · doi:10.1017/s0959259814000136

The journey of the frail older adult with heart failure: implications for management and health care systems

2014· article· en· W2032682778 on OpenAlexaff
George Heckman, Cara Tannenbaum, Andrew P. Costa, Karen Harkness, Robert S. McKelvie

Bibliographic record

VenueReviews in Clinical Gerontology · 2014
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalResearch Institute for AgingMcMaster UniversityUniversity of Waterloo
Fundersnot available
KeywordsHeart failureMedicineInstitutionalisationOlder peopleNarrative reviewIntensive care medicineHealth careGerontologyDiseasePsychiatryCardiologyPolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

Summary The heart failure epidemic predominantly affects older people, particularly those with concurrent co-morbid conditions and geriatric syndromes. Mortality and heath service utilization associated with heart failure are significant, and extend beyond the costs associated with acute care utilization. Over time, older people with heart failure experience a journey characterized by gradual functional decline, accelerated by unpredictable disease exacerbations, requiring greater support to remain in the community, and often ultimately leading to institutionalization. In this narrative review, we posit that the rate of functional decline and associated health care resource utilization can be attenuated by optimizing the management of heart failure and associated co-morbidities. However, to realize this objective, the manner in which care is delivered to frail older people with heart failure must be restructured, from the bedside to the level of the health care system, in order to optimally anticipate, diagnose and manage co-morbidities.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.118
GPT teacher head0.440
Teacher spread0.322 · 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 designNot applicable
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

Citations19
Published2014
Admission routes1
Has abstractyes

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