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Record W2038042328 · doi:10.1159/000166895

Distal Renal Tubular Acidosis Syndromes: A Pathophysiological Approach

2008· article· en· W2038042328 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

VenueAmerican Journal of Nephrology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsUniversity of TorontoToronto General HospitalSt. Michael's Hospital
Fundersnot available
KeywordsNephronRenal tubular acidosisMedicineAcidosisDistal renal tubular acidosisAmmoniumPathophysiologyKidneyExcretionEndocrinologyInternal medicineLumen (anatomy)Chemistry

Abstract

fetched live from OpenAlex

Ammonium is the most important component of renal acid excretion. A reduced rate of ammonium excretion is the common feature of the group of diseases called distal renal tubular acidosis. We have presented an alternative approach to patients with distal acidification defects based upon the pathophysiology of these disorders. Accordingly, the purpose of this review is to describe a revised classification based on our current understanding of collecting duct hydrogen ion secretion and ammonium addition to the lumen of the distal nephron. We have subdivided these defects into four groups: disorders of the collecting duct proton pump (pump defects); failure to generate and/or maintain an appropriate electrical gradient to favor hydrogen ion secretion (voltage defects); back-leak of hydrogen ions across an abnormally permeable collecting duct membrane (gradient defects), and diminished availability of NH3 in this nephron segment (NH3 defects). These four subtypes can be identified by measuring the urine pH and PCO2 under appropriate circumstances and evaluating the renal excretion of ammonium and potassium.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.437

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 studies0.0000.001
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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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