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Record W1599848521 · doi:10.1155/2015/232607

Orthotopic Heart Transplantation and Mechanical Circulatory Support in Cancer Survivors: Challenges and Outcomes

2015· review· en· W1599848521 on OpenAlexaff
Nina Ghosh, John Hilton

Bibliographic record

VenueJournal of Oncology · 2015
Typereview
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineHeart failureHeart transplantationCardiomyopathyInotropeAnthracyclineCirculatory systemVentricular assist deviceInternal medicineCardiologyTransplantationPopulationDestination therapyCancerIntensive care medicineBreast cancer

Abstract

fetched live from OpenAlex

Chemotherapy-induced cardiomyopathy (CCMP) is a significant cause of morbidity and mortality. Compared to cardiomyopathy due to other causes, anthracycline-induced cardiomyopathy is associated with a worse survival. As cancer survival improves, patients with CCMP can be expected to comprise a significant proportion of patients who may require advanced therapies such as inotropic support, cardiac transplantation, or left ventricular assist device (LVAD). Distinct outcomes related to advanced therapies for end-stage heart failure in this patient population may arise due to unique demographic characteristics and comorbidities. We review recent literature regarding the characteristics of patients who have survived cancer undergoing orthotopic heart transplantation and mechanical circulatory support for end-stage heart failure. The challenges and outcomes of advanced therapies for heart failure related specifically to anthracycline-induced cardiomyopathy are emphasized.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.104
GPT teacher head0.372
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations8
Published2015
Admission routes1
Has abstractyes

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