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Record W4244931715 · doi:10.5489/cuaj.726

Acute reversible kidney injury secondary to bilateral ureteric obstruction

2013· article· en· W4244931715 on OpenAlexaffvenue
Michael Organ, Richard W. Norman

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineMalignancyEtiologyCancerCervical cancerAcute kidney injuryBladder cancerProstate cancerCervixUrologyInternal medicineSurgeryGastroenterology

Abstract

fetched live from OpenAlex

Background: Acute reversible kidney injury (ARKI) secondary tobilateral ureteric obstruction (BUO) is a common urological problem.Our goals were to describe the etiology, management andoutcomes of such patients identified between 2006 and 2009 andto compare them with a similar historical study published in 1982.Methods: Chart review was performed on 49 patients with AKRIsecondary to BUO. ARKI was defined as ≥33% decrease in serumcreatinine after intervention. Those with malignant and benigncauses of obstruction were identified and management and outcomedata were collected.Results: Of these 49 patients, 83% had BUO secondary to malignancy,28% of these presenting for the first time. Prevalence ofbladder cancer was increased (p = 0.04) and cervix trended lower(p = 0.07) compared with the earlier study; prostate cancer wasunchanged (p = 0.51). The average survival was 239 days; 90%of patients died within a year after presenting with BUO from amalignant etiology. Compared with the 1982 group, there weretrends towards a decrease in the frequency of retroperitoneal fibrosis(p = 0.08) and an increase in bilateral ureteric calculi (p = 0.16)in the benign group.Conclusions: Patients with ARKI secondary to BUO most likelyhave an underlying malignancy, with almost a third of them beingdiagnosed for the first time. Prevalence of bladder cancer increasedwhile cervical cancer trended lower. The cause for the former isunclear; the latter may be due to aggressive screening. Prostate cancerremained unchanged despite the widespread implementation ofprostate-specific antigen testing. Patients with an underlying malignancydo poorly and those with a newly diagnosed malignancydo worst. Those with ARKI secondary to benign causes did well.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.997

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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 designNot applicable
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

Citations2
Published2013
Admission routes2
Has abstractyes

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