MétaCan
Menu
Back to cohort
Record W2913349186 · doi:10.1111/ejh.13213

Sequential liver and haematopoietic stem cell transplantation in a case of fulminant hepatitis associated liver failure and aplastic anaemia

2019· review· en· W2913349186 on OpenAlexaff
Zeyad Al‐Shaibani, Sreelakshmi Kotha, Wilson Lam, Zita Galvin, Leslie Lilly, Jeffrey H. Lipton, Arjun Law

Bibliographic record

VenueEuropean Journal Of Haematology · 2019
Typereview
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsToronto General HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTransplantationStem cellContext (archaeology)HematologyFulminant hepatitisHaematopoiesisImmunosuppressionHepatologyHematopoietic stem cell transplantationInternal medicineImmunologyHepatitisBiology

Abstract

fetched live from OpenAlex

The management of severe aplastic anaemia is particularly challenging when it occurs in the context of recent liver transplantation. Rapid identification of a suitable donor followed by allogeneic haematopoietic stem cell transplantation is the only curative option. This scenario is often complicated by potentially life-threatening infections that develop as a consequence of immunosuppression. Alternative donor transplantation using suitably matched unrelated donors can be potentially life-saving when suitably matched sibling donors are unavailable. Above all, a dedicated interdisciplinary approach with seamless communication between hepatology, transplant surgery, haematology, and stem cell transplant services is essential to achieving optimal outcomes. Herein, we describe a case of severe hepatitis leading to hepatic failure who was treated with liver transplantation from a deceased donor, and later received an allogeneic haematopoietic stem cell transplantation from a matched unrelated donor for hepatitis-associated aplastic anaemia.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.197
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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 designCase report
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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal Of HaematologySame topicOrgan Transplantation Techniques and OutcomesFrench-language works237,207