Evidence map›Paper›PMID 25215234›Full record

ArticleInternational journal of nephrology2014

Estimation of Glomerular Filtration Rate Based on Serum Cystatin C versus Creatinine in a Uruguayan Population.

Inés Lujambio, Mariana Sottolano, Leonella Luzardo, Sebastián Robaina, Nadia Krul, Lutgarde Thijs, Florencia Carusso, Alicia da Rosa, Ana Carina Ríos, Alicia Olascoaga and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

15 authors at 3 institutions in 3 countries.

Inés LujambioUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay.
Mariana SottolanoUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay ; Centro de Nefrología, Universidad de la República, Montevideo, Uruguay.
Leonella LuzardoUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay ; Centro de Nefrología, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-9498-2214
Sebastián RobainaUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay.
Nadia KrulDepartamento Laboratorio de Patología Clínica at Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0001-5437-3644
Lutgarde ThijsDepartment of Cardiovascular Sciences, Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, University of Leuven (KU Leuven), Leuven, Belgium.ORCID 0000-0002-8108-2356
Florencia CarussoUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay.
Alicia da RosaUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay.
Ana Carina RíosDepartamento Laboratorio de Patología Clínica at Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
Alicia OlascoagaDepartamento Laboratorio de Patología Clínica at Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay.
Mariela GarauDepartamento de Métodos Cuantitativos, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-9632-7539
Liliana GadolaDepartamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay ; Centro de Nefrología, Universidad de la República, Montevideo, Uruguay.
Oscar NoboaUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Centro de Nefrología, Universidad de la República, Montevideo, Uruguay.
Jan A StaessenDepartment of Cardiovascular Sciences, Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, University of Leuven (KU Leuven), Leuven, Belgium ; Department of Epidemiology, Maastricht University, Maastricht, The Netherlands.
José BoggiaUnidad de Hipertensión Arterial, Hospital de Clínicas Dr. Manuel Quintela, Universidad de la República, Avenida Italia 2870, 11600 Montevideo, Uruguay ; Departamento de Fisiopatología, Universidad de la República, Montevideo, Uruguay ; Centro de Nefrología, Universidad de la República, Montevideo, Uruguay.
Universidad de la República de Uruguay · UYKU Leuven · BEMaastricht University · NL

Funding

European Research Council 294713
6 · The paper itself

Abstract

Background. Estimation of glomerular filtration rate (eGFR) from biomarkers has evolved and multiple equations are available to estimate renal function at bedside. Methods. In a random sample of 119 Uruguayans (54.5% women; 56.2 years (mean)), we used Bland and Altman's method and Cohen's kappa statistic to assess concordance on a continuous or categorical (eGFR < 60 versus ≥60 mL/min/1.73 m(2)) scale between eGFRcys (reference) and eGFR derived from serum creatinine according to the Modification of Diet in Renal Disease (eGFRmdrd) or the Chronic Kidney Disease Epidemiology Collaboration equations (eGFRepi) or from both serum cystatin C and creatinine (eGFRmix). Results. In all participants, eGFRmdrd, eGFRepi, and eGFRmix were, respectively, 9.7, 11.5, and 5.6 mL/min/1.73 m(2) higher (P < 0.0001) than eGFRcys. The prevalence of eGFR <60 mL/min/1.73 m(2) was the highest for eGFRcys (21.8%), intermediate for eGFRmix (11.8%), and the lowest for eGFRmdrd (5.9%) and eGFRepi (3.4%). Using eGFRcys as reference, we found only fair agreement with the equations based on creatinine (Cohen's kappa statistic 0.15 to 0.23). Conclusion. Using different equations we reached clinically significant differences in the estimation of renal function. eGFRcys provides lower estimates, resulting in higher prevalence of eGFR <60 mL/min/1.73 m(2).

Identifiers

PMID25215234
PMCPMC4158300
OpenAlexW2042548492

What OpenQuestion holds

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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.