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Pathomechanisms of nephrogenic systemic fibrosis: new insights

2011· review· en· W1566754413 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

VenueClinical and Experimental Dermatology · 2011
Typereview
Languageen
FieldMaterials Science
TopicLanthanide and Transition Metal Complexes
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNephrogenic systemic fibrosisFibrocyteFibrosisMedicineOsteopontinPathogenesisMatrix metalloproteinasePathologyMyofibroblastTissue inhibitor of metalloproteinaseGadoliniumImmunologyChemistryKidney diseaseInternal medicine

Abstract

fetched live from OpenAlex

Nephrogenic systemic fibrosis (NSF), previously known as nephrogenic fibrosing dermopathy, is a generalized fibrotic disorder occurring in people with renal failure, following exposure to gadolinium-based contrast agents used to enhance MRI. The cellular elements involved in pathology of NSF include bone-marrow-derived collagen-producing fibrocytes, myofibroblasts and activated macrophages. Mechanisms that have been hypothesized to play a role in the pathogenesis of NSF include upregulation of osteopontin, imbalance between matrix metalloproteinases and tissue inhibitor of metalloproteinase 1, and presence of transforming growth factor-β, nuclear factor κB, decorin and metallothioneins. Gadolinium (both free and chelated) is thought to be a bioactive trigger for NSF. Elucidation of these potential pathomechanisms would be useful for development of targeted therapies for NSF.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.105
GPT teacher head0.365
Teacher spread0.260 · 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