MétaCan
Menu
Back to cohort
Record W2024839536 · doi:10.1159/000184947

Nephrotoxicity of High- and Low-Osmolality Contrast Media

2008· article· en· W2024839536 on OpenAlexaff
Anthony M. Jevnikar, K.J.C. Finnie, Bradley M. Dennis, David T. Plummer, A. Avila, A. L. Linton

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsVictoria HospitalWestern University
Fundersnot available
KeywordsNephrotoxicityIohexolMedicineExcretionRenal functionDiatrizoateInternal medicineEndocrinologyUrine osmolalityOsmoleUrinary systemRenal physiologyUrologyKidney

Abstract

fetched live from OpenAlex

Nephrotoxicity of radio-opaque contrast media (CM) is generally believed to involve toxic injury of proximal tubular cells. Measurement of urinary tubular enzyme excretion has been advocated as a sensitive marker of such toxic injury. It has been claimed that the new low-osmolality or nonionic CM reduce the incidence of nephrotoxicity but this remains uncertain. We studied 23 patients with normal renal function undergoing coronary angiography; patients were randomized into three groups receiving either diatrizoate (1,800 mmol/kg H2O), ioxaglate (600 mmol/kg H2O) or iohexol (850 mmol/kg H2O). Urinary excretion of a panel of enzymes increased significantly in all groups by 20 h (p less than 0.05 to less than 0.005). Alanine aminopeptidase excretion at 20 h was greater after the administration of high osmolality ionic CM than with the others but all three CM produced a similar pattern of enzyme excretion. No significant change in glomerular filtration rate was found in any group so the significance of the enzymuria remains uncertain.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.328
Teacher spread0.280 · 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

Citations51
Published2008
Admission routes1
Has abstractyes

Explore more

Same venue˜The œNephron journals/Nephron journalsSame topicAcute Kidney Injury ResearchFrench-language works237,207