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Record W3094563513 · doi:10.24953/turkjped.2020.05.020

Successful treatment of pediatric post-liver transplant Kaposi`s sarcoma with paclitaxel

2020· article· en· W3094563513 on OpenAlexaff
Hilal Susam Şen, Belen Terlemez Ateş, Pınar Yılmazbaş, Süheyla Ocak, Hale Kırımlıoğlu, Selim Gökçe, K Acarli

Bibliographic record

VenueThe Turkish Journal of Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsPaclitaxelSarcomaMedicineOncologyInternal medicineCancerPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Kaposi`s sarcoma (KS) is a complication of immunosuppressive therapy for transplant recipients. Unlike adult recipients, KS in pediatric organ transplantation is quite rare. Treatment is usually withdrawal of immunosuppression; non-responders often receive chemotherapy. CASE: We have reported a child with post-liver transplant visceral KS which has progressed despite withdrawal of immunosuppressive therapy, who has been treated with Paclitaxel for three weeks. KS has regressed completely after four cycles of Paclitaxel. CONCLUSION: Paclitaxel should be considered as an effective first line treatment option for patients with posttransplant KS.

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 score0.323
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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
Published2020
Admission routes1
Has abstractyes

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