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Intravenous Immunoglobulin as a Treatment for BK Virus Associated Nephropathy

2006· article· en· W2054799814 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransplantation · 2006
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineConcomitantDialysisUrologyRenal functionNephropathyKidney transplantationBK virusTransplantationSurgeryInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

BK virus associated nephropathy (BKVAN) has emerged as an important cause of renal allograft dysfunction and graft loss. Although several treatment strategies have been proposed, the rate of graft loss remains high. We studied the outcome of renal transplant patients with BKVAN treated with IVIG. After 11.4 +/- 3.9 months (mean +/- SEM) from the time of transplantation, 8 renal allograft recipients were diagnosed with BKVAN. In addition to a reduction of immunosuppressive therapy, patients received 2 g/kg IVIG. After a mean follow-up of 15 months, all except one patient are currently off dialysis. In summary, after IVIG therapy, 88% of patients still have functioning grafts, although renal function continues to be impaired. The benefit of concomitant IVIG and reduction of immunosuppressive therapy in BKVAN needs to be further addressed in randomized, multicentered trials.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.011
GPT teacher head0.268
Teacher spread0.256 · 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