ArticleKidney medicine
Development and Validation of Residual Kidney Function Estimating Equations in Dialysis Patients.
Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Blood pressure and volume management in dialysis: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.Kidney international · 2020Guideline
- Continuous beta-2 microglobulin-based clearance highlights superiority of high-Dose HDF over high-flux HD in predicting outcomes.Scientific reports · 2025Article
- Intradialytic optical assessment of C-mannosyl tryptophan removal using spent dialysate.Scientific reports · 2025Article
- Residual Kidney Function in Hemodialysis: Its Importance and Contribution to Improved Patient Outcomes.Toxins · 2024Review
- Serum Uromodulin and All-Cause Mortality in Peritoneal Dialysis Patients: A Chinese Cohort Study.Kidney medicine · 2022Article
- Serum β2-microglobulin as a predictor of residual kidney function in peritoneal dialysis patients.Journal of nephrology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
25 authors at 15 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE &
objectiveMeasurement of residual kidney function is recommended for the adjustment of the dialysis prescription, but timed urine collections are difficult and prone to errors. Equations to calculate residual kidney function from serum concentrations of endogenous filtration markers and demographic parameters would simplify monitoring of residual kidney function. However, few equations to estimate residual kidney function using serum concentrations of small solutes and low-molecular-weight proteins have been developed and externally validated. STUDY
designStudy of diagnostic test accuracy. SETTING &
participants823 Chinese peritoneal dialysis (PD) patients (development cohort) and 826 PD and hemodialysis patients from the Netherlands NECOSAD study (validation cohort). TESTS COMPARED: Equations to estimate residual kidney function (estimated clearance [eCl]) using serum creatinine, urea nitrogen, cystatin C, β OUTCOMES: Residual kidney function measured as urinary clearance (mCl) of urea nitrogen (mCl
resultsIn external validation, bias (difference between mCl and eCl) was within ± 1.0 unit for all equations. Accuracy (percent of differences within ± 2.0 units) was significantly better for eCl LIMITATIONS: Development cohort only consisted of PD patients, no gold-standard method for residual kidney function measurement.
conclusionsThese results confirm the validity and extend the generalizability of residual kidney function estimating equations from serum concentrations of low-molecular-weight proteins without urine collection.
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.