Evidence map›Paper›PMID 36069238›Full record

ArticlePharmacology research & perspectives2022

Comparison of 24-hour urinary creatinine clearance and estimated glomerular filtration rate based on a panel of filtration markers in patients with chronic kidney disease.

Esben Iversen, Lene Boesby, Ditte Hansen, Morten Baltzer Houlind

Open access · goldAbstract read
In one paragraph

Article in Pharmacology research & perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Esben IversenDepartment of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.ORCID 0000-0002-7558-9257
Lene BoesbyDepartment of Nephrology, Copenhagen University Hospital Herlev and Gentofte, Copenhagen, Denmark.ORCID 0000-0002-6326-3671
Ditte HansenDepartment of Nephrology, Copenhagen University Hospital Herlev and Gentofte, Copenhagen, Denmark.ORCID 0000-0003-4929-7901
Morten Baltzer HoulindDepartment of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.ORCID 0000-0003-4058-3012
University of Copenhagen · DKGentofte Hospital · DKHvidovre Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis and management of chronic kidney disease (CKD) requires accurate assessment of glomerular filtration rate (GFR). In practice, GFR is typically estimated by equations based on creatinine concentration in blood, but creatinine is affected by non-GFR factors such as age and sex. Alternative filtration markers such as cystatin C, beta-trace protein (BTP), and beta-2 microglobulin (B2M) may be less dependent on age and sex, but equations combining these markers have not been investigated in patients with chronic kidney disease (CKD). In this cross-sectional study of 50 patients with CKD stage 3-4, we compared kidney function estimates based on creatinine, cystatin C, BTP, B2M, or a combination of markers. Compared to the creatinine/cystatin C combination equation, the panel equation yielded a mean difference of only 2.8 ml/min/1.73 m

Indexed as

Cystatin CRenal Insufficiency, ChronicBiomarkersCreatinineCross-Sectional StudiesGlomerular Filtration RateHumansBiomarkersCreatinineCystatin Cbeta-2 microglobulinbeta-trace proteinchronic kidney diseasecreatininecystatin Cestimated glomerular filtration ratepanel equation

Identifiers

PMID36069238
PMCPMC9449817
OpenAlexW4294867737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.