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Record W4397043857 · doi:10.1681/asn.20233411s1258b

Kidney Disease Outcomes in Patients with Inflammatory Bowel Disease

2023· article· en· W4397043857 on OpenAlexaff
Manish K. Saha, Duvuru Geetha, Louis‐Philippe Laurin, Simon Leclerc, Ronald J. Falk, Susan L. Hogan, Amy K. Mottl, Yichun Hu, Vimal K. Derebail

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseKidney diseaseDiseaseInternal medicineGastroenterologyNephrology

Abstract

fetched live from OpenAlex

Background: Patients with inflammatory bowel diseases (IBD), Crohn’s disease (CD) and ulcerative colitis (UC) may have extra-intestinal manifestations (EIM). The prevalence of histologic patterns of kidney disease seen in IBD patients is known, but clinical characteristics and long-term kidney outcomes remain ill-defined. Methods: We performed a multi-center, retrospective, study of IBD patients who had a kidney biopsy across 3 centers. Inclusion criteria were: (i) IBD diagnosis based on clinical/histological characteristics and (ii) kidney biopsy with pathology report available. Baseline clinical data were analyzed for the whole cohort while outcomes were evaluated in those with available follow-up. Between groups, comparisons for continuous variables were made using Wilcoxon two-sample test and Fisher’s exact test for categorical values. Results: The frequency of various glomerular (GN), tubulointerstitial (TIN), and vascular (VD) processes are listed in Table 1. Patients with VD were older compared to other groups. At presentation, proteinuria was higher in patients with GN compared to those with TIN [2.13 (0.84, 4.07) vs. 0.30 (0.25, 1.25) p<0.05] and kidney function was worse in those with TIN compared to GN (3.10 [1.98, 4.50] vs. 2.10 [1.20, 3.11], p=0.05]). TIN occurred in 3 treatment naïve patients. In median follow-up of >3 years, 6 of 35 (17%) GN patients, 1 of 8 (12.5%) TIN, and 2 of 4 (50%) VD patients developed ESKD. Table 1 - Frequency of various kidney diseases in patients with IBD CD+UC+IBD@ n=96 CD n=56 UC n=36 IgAN FSGS Amyloidosis-MGRS ANCA-vasculitis Other GN 18 10 8 8 12 11 6 5 3 5 6 3 3 5 7 TIN 14 8 5 VD 12 8 4 Other 9 6 3 @IBD - 4 patients had IBD without distinctive features of CD/UC -- 1 each had IgAN, FSGS, TIN, ATN4 patients in CD and 1 in UC group had only ATN; MGRS=monoclonal gammopathy of renal significance, ANCA=Anti-neutrophil cytoplasmic antibody; Others: neoplasm, non-specific interstitial fibrosis Conclusions: Patients with IBD may have varying forms of CKD including GN, and routine monitoring of kidney function is essential for early diagnosis and treatment. TIN may occur as an EIM independent of sulfasalzine therapy. Future studies are required to understand plausible shared immunopathogenesis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.228
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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