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Record W1527848175 · doi:10.3171/spi.2008.9.10.377

An unusual case of spinal column metastasis after orthotopic transplantation for cardiac sarcoma

2008· article· en· W1527848175 on OpenAlexaff
Gregory S. McLoughlin, Daniel M. Sciubba, Showkat Ali, J. Weinkauf, Daryl R. Fourney

Bibliographic record

VenueJournal of Neurosurgery Spine · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineSarcomaTransplantationCauda equina syndromeMetastasisCauda equinaSurgeryHeart transplantationComplicationMyocardial infarctionInternal medicinePathologyCancerSpinal cord

Abstract

fetched live from OpenAlex

The authors describe a patient who underwent orthotopic cardiac transplantation after an undifferentiated cardiac sarcoma was diagnosed. While receiving immunosuppressive therapy, the patient developed spinal column metastases and cauda equina syndrome requiring surgical decompression and stabilization. This occurred despite an exhaustive search for metastatic disease prior to the transplantation. To the authors' knowledge, this represents the first reported case of an undifferentiated cardiac sarcoma metastasis to the spine. This previously healthy 18-year-old woman presented with a myocardial infarction. Investigations revealed a left atrial tumor, which was resected. Following local recurrence, the patient underwent extensive studies to rule out systemic disease. Orthotopic heart-lung transplantation was then performed. While receiving postoperative immunosuppressive therapy the patient presented with cauda equina syndrome secondary to metastatic tumor compression at the L-5 level. Despite a comprehensive screening process to exclude metastatic disease prior to transplantation, spinal metastases occurred while this patient was receiving immunosuppressive therapy. This represents a previously unreported and clinically significant complication for undifferentiated cardiac sarcoma.

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 score0.423
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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