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Record W2132285124 · doi:10.1586/erd.11.9

Quality of life for patients supported on a left ventricular assist device

2011· review· en· W2132285124 on OpenAlexaff
Jane MacIver, Vivek Rao, Heather J. Ross

Bibliographic record

VenueExpert Review of Medical Devices · 2011
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsPulsatile flowMedicineQuality of life (healthcare)Heart failureVentricular assist deviceHemodynamicsCardiologyHeart transplantationContinuous flowInternal medicineTransplantationArtificial heartSocial supportIntensive care medicinePsychologyNursing

Abstract

fetched live from OpenAlex

Left ventricular assist devices (LVADs) are mechanical pumps implanted into patients at risk of dying from Stage D heart failure. These devices not only increase survival time, they also significantly improve quality of life. Implantation of a LVAD improves hemodynamics and reduces congestion in both the pulmonary and peripheral vasculature. Improvements in forward blood flow are probably responsible for the significant reduction in the severity of dyspnea and fatigue postimplant. Quality of life is a subjective evaluation and includes aspects of physical, mental and social functioning. Quality of life is significantly improved after implantation of a LVAD, changes little over the duration of support and improves again following heart transplantation. Patients who are discharged home on support report significantly better quality of life than patients who remain in hospital. At home patients can resume physical, mental and social activities that were compromised preimplant. A significant decline in functional ability while on support may be a trigger for patients to initiate discussions regarding LVAD withdrawal. While the bulk of evidence was generated during the era of pulsatile support, preliminary information suggests similar results can be anticipated for patients supported on continuous-flow devices.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.376
Teacher spread0.302 · 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

Citations27
Published2011
Admission routes1
Has abstractyes

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