ArticleClinical and experimental nephrology2016
Determinants of renal shape in chronic kidney disease patients.
Article in Clinical and experimental nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 9 citations in OpenAlex.
- The impact of the ratio of renal parenchyma to renal volume on stone-free rates after RIRS: a retrospective study.Scientific reports · 2025Article
- Optimization and application of renal depth measurement method in the cadmium-zinc-telluride‑based SPECT/CT renal dynamic imaging.EJNMMI physics · 2024Article
- Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease.Diagnostics (Basel, Switzerland) · 2023Article
- Noninvasive Evaluation of Lupus Nephritis Activity Using a Radiomics Machine Learning Model Based on Ultrasound.Journal of inflammation research · 2023Article
- Altered in utero kidney development in newborns with congenital heart disease.Pediatric research · 2019Article
- An equation to estimate the renal cortex volume in chronic kidney disease patients.Clinical and experimental nephrology · 2018Article
- Correlation of Kidney Lenght and Body Parameters in CT Scans.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe determinants of renal shape are not well established. The purpose of this study was to investigate the relationship between the renal shape, as measured by ultrasound, and the clinical characteristics in chronic kidney disease (CKD) patients.
methodsThe study included 121 CKD patients who had undergone kidney biopsy. The renal shape was defined by: (1) the renal shape index: renal length/(renal width + renal thickness) and (2) the renal width/length. IgA nephritis patients (excluding patients with diabetes), comprised the largest subgroup (n = 49) and were analyzed separately.
resultsThe correlation analyses and two-sample Student's t test results showed that age, eGFR, BMI, cortex volume fraction measured by MRI (cortex volume/renal volume), percentage of global sclerosis, weight, sex, hypertension and diabetes were significantly correlated with the renal shape in both kidneys. In a stepwise multiple linear regression analysis, old age and high BMI were independently associated with plump kidney. As for the left renal shape index, low cortex volume fraction was also independently associated with plump kidney. In the IgA nephritis patient subgroup, the cortex volume fraction was the most significant factor contributing to the left renal shape index (r = 0.50, p < 0.01) and the width/length (r = -0.47, p < 0.01).
conclusionAge and BMI were stronger determinants of renal shape than renal function in CKD patients. The left renal cortex volume fraction was also an independent determinant and a more important factor in IgA nephritis patients.
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.