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Record W1976550738 · doi:10.1097/hco.0b013e328323f58f

Left ventricular device as destination therapy: are we there yet?

2009· review· en· W1976550738 on OpenAlexaff
Mitesh Badiwala, Vivek Rao

Bibliographic record

VenueCurrent Opinion in Cardiology · 2009
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity Health NetworkToronto General Hospital
Fundersnot available
KeywordsMedicineDestination therapyHeart failureAdverse effectRandomized controlled trialVentricular assist devicePulsatile flowIntensive care medicineSepsisCardiologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Mechanical circulatory assistance is evolving from bridge-to-transplant to destination therapy for end-stage heart failure patients. Recent studies document the evolution in outcomes following destination therapy achieved subsequent to the landmark Randomized Evaluation of Mechanical Assistance for the Treatment of Congestive Heart Failure trial, as well as the outcomes of second-generation left ventricular assist devices (LVADs). RECENT FINDINGS: Post-Randomized Evaluation of Mechanical Assistance for the Treatment of Congestive Heart Failure destination therapy patients receiving first-generation pulsatile flow devices have benefited from some improvement in 2-year outcomes and some reduction in the incidence of adverse events including device failure and sepsis. Despite these improvements, survival at 2 years remains poor and adverse events continue to portend significant morbidity and mortality. Second-generation continuous axial flow devices have demonstrated superior device durability and reliability as well as significant reductions in the incidence of sepsis and device-related infections in bridge-to-transplant patients. SUMMARY: Second-generation axial flow devices have significantly improved the adverse-event profile of LVAD therapy and are anticipated to offer substantial device longevity. Destination therapy is clearly an option for some patients with end-stage heart failure. As devices and experience evolve, outcomes will improve, which begs the question of whether these devices will have a role in the treatment of patients not as ill as those in the Randomized Evaluation of Mechanical Assistance for the Treatment of Congestive Heart Failure trial.

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 score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.131
GPT teacher head0.373
Teacher spread0.242 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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