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Record W2327515923 · doi:10.5414/cnp63381

Cyclooxygenase-2 inhibitor-associated minimal-change disease

2005· article· en· W2327515923 on OpenAlexaff
Mohammed Almansori, T Kovithavongs, Muhammad Uwais Qarni

Bibliographic record

VenueClinical Nephrology · 2005
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCelecoxibCyclooxygenaseRofecoxibAdverse effectDiscontinuationInterstitial nephritisRenal functionMinimal change diseaseInternal medicineNephrotoxicityNephrotic syndromeGastroenterologyKidney diseasePharmacologyToxicityProteinuriaKidneyFocal segmental glomerulosclerosis

Abstract

fetched live from OpenAlex

Selective cyclooxygenase-2 (COX-2) inhibitors are relatively newer anti-inflammatory drugs that produce comparable antiinflammatory and analgesic effects to the nonselective nonsteroidal antiinflammatory drugs (NSAIDs); but with fewer symptomatic gastric and duodenal ulcers. Limited data are available concerning the toxicity associated with COX-2 inhibitors outside the gastrointestinal tract. The NSAIDs have been known for their nephrotoxic potentials including minimal-change disease (MCD) with interstitial nephritis. Although the recent data suggests that COX-2 inhibitors may have the same adverse renal effect as NSAIDs, there is only one case report describing minimal change disease and acute interstitial nephritis (AIN) associated with a COX-2 inhibitor, celecoxib. We are reporting a case of MCD and acute tubular necrosis (ATN) but without interstitial nephritis in a patient treated with celecoxib. Although the proteinuria in our patient resolved completely after discontinuation of celecoxib, the renal function did not. We suggest that heightened suspicion of this side effect of COX-2 inhibitors should be maintained in all patients taking this class of drugs who present with nephrotic syndrome.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.001

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 head0.056
GPT teacher head0.355
Teacher spread0.298 · 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.

Study designObservational
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

Citations24
Published2005
Admission routes1
Has abstractyes

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