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Calcineurin inhibitor‐associated oral inflammatory polyps after transplantation

2007· article· en· W1756468357 on OpenAlexaff
Maha Ali Al-Mohaya, Nathaniel S. Treister, Ons Al‐Khadra, Leslie Lehmann, Bonnie L. Padwa, Sook‐Bin Woo

Bibliographic record

VenueJournal of Oral Pathology and Medicine · 2007
Typearticle
Languageen
FieldHealth Professions
TopicOral and gingival health research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsCalcineurinTacrolimusMedicineTransplantationSirolimusHyperplasiaOrgan transplantationPathologyInternal medicine

Abstract

fetched live from OpenAlex

Calcineurin inhibitors (cyclosporine and tacrolimus) have been used as the mainstay immunosuppressive therapy for solid organ and hematopoietic cell transplantations (HCT) to prevent allograft rejection and for prophylaxis and treatment of the chronic graft-versus-host disease. Adverse effects of these drugs include nephrotoxicity, hepatotoxicity, neurotoxicity, hypertension and gingival hyperplasia. Association of oral non-gingival soft tissue hyperplasia with calcineurin inhibitor therapy has only recently been recognized and is thought to occur infrequently. We present four cases of oral non-gingival inflammatory fibro-vascular hyperplasias attributed to the use of calcineurin inhibitors following solid organ transplantation and HCT. These lesions interfere with function and must be differentiated from other oral lesions, and therefore should be surgically excised.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.072
GPT teacher head0.474
Teacher spread0.402 · 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 designCase report
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

Citations26
Published2007
Admission routes1
Has abstractyes

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