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Record W2051653561 · doi:10.1097/tp.0b013e3181636061

Pericardial Effusion Coincident With Sirolimus Therapy: A Review of Wyeth's Safety Database

2008· review· en· W2051653561 on OpenAlexaff
George H. Steele, Anthony Adamkovic, Laura A. Demopoulos, Linda C. Rothrock, Maureen Caulfield, Michael D. Blum, Charles Schubert, Dany D. Hembekides, Ajay B. Singh

Bibliographic record

VenueTransplantation · 2008
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMedicineSirolimusPericardial effusionAzathioprineSurgeryTransplantationEffusionInternal medicine

Abstract

fetched live from OpenAlex

Sirolimus is an immunosuppressive agent approved for prophylaxis of acute rejection in renal transplant patients aged 13 years or older. A retrospective review of pericardial effusion coincident with sirolimus therapy was conducted from key clinical trials and spontaneous reporting sources. A significantly higher rate of pericardial effusion occurred with sirolimus versus azathioprine treatment in a cardiac transplantation trial (28.6% versus 9.3%, respectively). Cases of pericardial effusion were also observed in the sirolimus treatment arms of three de novo renal transplant studies (rates 0.5 to 1.9%). Although most of the pericardial effusions occurred in cardiac transplantation, sirolimus is not approved for this use. As of January 31, 2007, the Wyeth safety database (which includes clinical trial data and spontaneous reports) contained reports of pericardial effusion in 56 sirolimus-treated patients, 31 of whom required pericardial drainage. These data suggest that pericardial effusion should be considered in the differential diagnosis of a clinical deterioration in posttransplant patients treated with sirolimus. The adverse reaction of pericardial effusion has been added to product labeling.

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)0.008
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0120.021
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.354
Teacher spread0.306 · 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 designObservational
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

Citations15
Published2008
Admission routes1
Has abstractyes

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