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Record W3046180344 · doi:10.1186/s13223-020-00469-3

Skin testing with bendamustine: what concentration should be used?

2020· article· en· W3046180344 on OpenAlexvenueno aff
Laura Malinauskienė, Kęstutis Černiauskas, Kotryna Linauskienė, Linas Griguola, Anželika Chomičienė, Audra Blažienė

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2020
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsBendamustineMedicineChronic lymphocytic leukemiaCulpritPatch testingDermatologyHypersensitivity reactionLeukemiaIntensive care medicineInternal medicineAllergyImmunologyContact dermatitis

Abstract

fetched live from OpenAlex

We present a case of the patient, who developed hypersensitivity reaction during the treatment of chronic lymphocytic leukemia. Bendamustine was suspected as a culprit agent. The patient as well as 3 controls underwent skin testing with the concentrations of the bendamustine described in earlier studies. We doubted the testing recommendations as all the controls developed serious local reactions. The clinical meaning of the positive skin test reaction in the patient remained unclear and questioned the safeness of recommended testing concentrations as in certain situations wrong diagnosis could be made or even harm could be done. Future investigations are needed when allergy to bendamustine is suspected.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.104
GPT teacher head0.348
Teacher spread0.244 · 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 designOther design
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

Citations1
Published2020
Admission routes1
Has abstractyes

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