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Record W4229004061 · doi:10.1093/ndt/gfac071.025

MO494: The Prospective Roles of Urinary Dickkopf-3 for Detecting Renal Function Deterioration and Monitoring Chronic Kidney Disease Progression: Systematic Review of Cohort Studies

2022· article· en· W4229004061 on OpenAlexaboutno aff
Boby Pratama Putra, Felix Nugraha Putra

Bibliographic record

VenueNephrology Dialysis Transplantation · 2022
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKidney diseaseRenal functionInternal medicineAlbuminuriaCohortUrinary systemCohort studyDialysisMicroalbuminuriaUrology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND AND AIMS Chronic kidney disease (CKD) is a worldwide health problem whose incremental prevalence. Early detection and proper monitoring of renal dysfunction can decrease morbidity and mortality among CKD patients. Estimated glomerular filtration rate (eGFR) and albuminuria have been used for monitoring CKD progression. Unfortunately, substantial CKD patients’ proportion might undergo CKD progression through non-proteinuric pathways. Dickkopf-3 (DKK3), stress-induced renal tubular epithelial-derived glycoprotein, is a key driver of tubulointerstitial fibrosis through the canonical Wnt/β-catenin signaling pathway. This study aims to evaluate the role of DKK3 in detecting and monitoring renal dysfunction and CKD progression. METHOD Comprehensive literature searching was performed through the online databases of PubMed, EMBASE, ScienceDirect and The Cochrane Library. This study followed the PRISMA guidelines. The inclusion criteria are all cohort studies that assess the correlation and clinical implications of increased urinary DKK3 with CKD progression. The quality of included studies was accessed by using the Newcastle–Ottawa Scale. RESULTS Six cohort studies matched the inclusion criteria. Urinary DKK3-to-creatinine >4000 pg/mg was independently associated with annual eGFR decline among early CKD stages. A multivariate analysis study suggested that 24-h urinary DKK3 was independently associated with the annual Kt/V decline among peritoneal dialysis patients. Increased urinary DKK3 was associated with a significant eGFR decline in 6 months among IgA nephropathy patients. A cohort study suggested that populations with microalbuminuria were significantly susceptible to prevalent cardiovascular diseases, prevalent CKD, and new-onset CKD risks. Urinary DKK3 was associated with significant incremental risks for declining eGFR and proteinuria as well as CKD progression risks in chronic obstructive pulmonary disease (COPD) patients. In a study, involving CKD patients who underwent coronary angiography, the baseline urinary DKK3-to-creatinine ratio was superior to serum cystatin-C and serum and urinary neutrophil gelatinase-associated lipocalin (NGAL), predicting both acute kidney injury (AKI) and persistent renal dysfunction. A cardiac surgery study showed that high urinary DKK3-to-creatinine ratio >471 pg/mg was significantly associated with AKI, persistent renal dysfunction and dialysis dependency. CONCLUSION Dickkopf-3 shows promising prospective roles for detecting early renal dysfunction and monitoring CKD progression. Nevertheless, further studies are warranted to confirm its promising prospective role.

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)0.013
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.014
Bibliometrics0.0140.013
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.294
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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