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Record W2470359666

Treatment of primary cardiac malignancies with orthotopic heart transplantation.

2000· article· en· W2470359666 on OpenAlexaboutno aff
Edwin Rodriguez‐Cruz, Cintrón-Maldonado Rm, Forbes Tj

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHeart transplantationTransplantationRadiation therapySurvival rateSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Heart transplantation has become available as a possible treatment for patients with malignancies. Primary cardiac malignant tumors are extremely rare but several patients have been treated with this modality. Whether survival is improved over the direct removal of tumor or heart transplantation is not known. We compiled data regarding malignant primary heart tumors that have been treated at various transplant centers in order to determine if early diagnosis and treatment with cardiac transplantation has resulted in an improved mortality. METHODS: A total of 173 questionnaires were sent to the heart transplant centers across the United States and Canada inquiring about those patients who were found to have a primary cardiac malignant tumor and who underwent heart transplantation. Cases reported in the literature, which had undergone transplantation, were also reviewed by a search in MEDLINE. RESULTS: Twenty-four cases were collected. The overall survival time was from 1 month to 66 months. The actuarial survival was 54% at 12 months, 45% at 24 months and 35% at 36, 48 and 60 months respectively. Metastases were present in 10 out of the 14 deceased patients, possibly being one of the major factors affecting survival. Only 1 living patient developed metastases. CONCLUSION: Survival rates of patients with primary cardiac malignancies treated with resection, radiation, chemotherapy, or a combination of them (conventional therapy) versus heart transplantation are similar. Early diagnosis and resection are the most important factors for a better outcome, however these factors will not guarantee success since the presence or development of metastasis is a major contributor to death in both groups of patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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 designObservational
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

Citations7
Published2000
Admission routes1
Has abstractyes

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