ArticleKidney international reports2019
Urinary Tissue Inhibitor of Metalloproteinases-2 and Insulin-Like Growth Factor-Binding Protein 7 Do Not Correlate With Disease Severity in ADPKD Patients.
Article in Kidney international reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Comprehensive biomarker assessment for predicting severe acute kidney injury and need of kidney replacement therapy in liver transplantation patients.Renal failure · 2024Trial
- Urinary beta-2 microglobulin increases whereas TIMP-2 and IGFBP7 decline after unilateral nephrectomy in healthy kidney donors.Scientific reports · 2024Article
- The Controversial Role of Fibrosis in Autosomal Dominant Polycystic Kidney Disease.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAutosomal dominant polycystic kidney disease (ADPKD) is characterized by progressive cyst formation and variable renal function decline that frequently leads to end-stage renal failure. With the advent of renoprotective treatment, there is renewed interest in noninvasive biomarkers to help identify patients at risk of rapid disease progression at early stages. Urinary tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been validated as early markers of acute kidney injury. Because these markers are associated with tubular damage, we studied the performance of both markers in a cohort with chronic tubular pathology. We investigated whether these biomarkers may be useful to evaluate disease severity in ADPKD.
methodsIn a cross-sectional analysis, we measured TIMP-2 and IGFBP7 in stored spot urine samples of patients with ADPKD with various stages of chronic kidney disease (CKD) and healthy controls by enzyme-linked immunosorbent assay. Renal function was estimated using the CKD-Epidemiology Collaboration equation. Patients were stratified according to the Kidney Disease Outcomes Quality Initiative classification for CKD. In a subset of patients, total kidney volume (TKV; using magnetic resonance imaging [MRI]) was measured.
resultsIn 296 patients with ADPKD (45.5 ± 11.5 years, 51.0% female, serum creatinine 106 [85-147] μmol/l), urine levels of TIMP-2 and IGFBP7 were not increased or tended to be lower as compared with 71 healthy controls (46.5 ± 18.5 years, 72.6% female). The levels did not differ across CKD stages, which remained so after correcting for urine creatinine or osmolality, and for age, sex, and urine protein in multivariable analyses.
conclusionsUrinary levels of TIMP-2 and IGFBP7 were not higher in patients with ADPKD, and did not correlate with disease severity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.