Evidence map›Paper›PMID 36988688›Full record

ArticlePediatric nephrology (Berlin, Germany)2023

Estimated pediatric glomerular filtration rate presentation improves the detection rate of kidney impairment in children.

Aviad Schnapp, Yonatan Egger, O N Ray Bignall, Naomi Issler, Oded Volovelsky

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Article in Pediatric nephrology (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Aviad Schnapp *Department of Pediatrics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. Aviad.schnapp@gmail.com.ORCID http://orcid.org/0000-0002-2127-3177
Yonatan Egger *Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
O N Ray BignallDivision of Nephrology and Hypertension, Nationwide Children's Hospital, Columbus, OH, USA.ORCID http://orcid.org/0000-0003-0798-448X
Naomi Issler *Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Oded Volovelsky *Department of Pediatrics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-5378-1045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate interpretation of everyday laboratory work is crucial for the early detection of impaired kidney function. Bedside estimation of glomerular filtration rate (eGFR) in children is based on serum creatinine standardized for body mass, most commonly using the revised Schwartz equation using height. This study evaluates how data presentation affects the correct assessment of children's kidney function.

methodsIn this survey-based study, 121 physicians treating children routinely in a tertiary hospital answered 11 clinical questions requiring assessment of kidney function based on serum creatinine with general (adult) or pediatric normal serum creatinine ranges, or by presented eGFR. The demographic data of the participants were collected.

resultsPresenting eGFR values rather than the customary presentation of serum creatinine and anthropometric parameters more than quadrupled the number of physicians who accurately estimated pediatric kidney function; 38.8% of physicians correctly assessed kidney function when presented with eGFR values but misinterpreted it when equivalent creatinine values were presented (p < 0.001). Seniority, specialty, and self-reported frequency of pediatric kidney function assessment did not affect the interpretation.

conclusionsPresenting physicians with calculated eGFR can dramatically improve the ability of the medical team to assess kidney function correctly in children. A higher resolution version of the Graphical abstract is available as Supplementary information.

Indexed as

Renal InsufficiencyAdultChildCreatinineGlomerular Filtration RateHumansKidneyCreatinineCreatinineeGFRKidney function assessment

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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.