Evidence map›Paper›PMID 32959542›Full record

SynthesisJournal of Korean medical science2020

A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance.

Nor Asyikin Mohd Tahir, Shamin Mohd Saffian, Farida Hanim Islahudin, Abdul Halim Abdul Gafor, Mohd Makmor-Bakry

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
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.

Nor Asyikin Mohd TahirFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-7330-7148
Shamin Mohd SaffianFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0001-6243-6975
Farida Hanim IslahudinFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-4450-4361
Abdul Halim Abdul GaforNephrology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Cheras, Malaysia.ORCID https://orcid.org/0000-0003-3950-2844
Mohd Makmor-BakryFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia. mohdclinpharm@ukm.edu.my.ORCID https://orcid.org/0000-0002-0592-0645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to compare the performance of cystatin C- and creatinine-based estimated glomerular filtration rate (eGFR) equations in predicting the clearance of vancomycin.

methodsMEDLINE and Embase databases were searched from inception up to September 2019 to identify all studies that compared the predictive performance of cystatin C- and/or creatinine-based eGFR in predicting the clearance of vancomycin. The prediction errors (PEs) (the value of eGFR equations minus vancomycin clearance) were quantified for each equation and were pooled using a random-effects model. The root mean squared errors were also quantified to provide a metric for imprecision.

resultsThis meta-analysis included evaluations of seven different cystatin C- and creatinine-based eGFR equations in total from 26 studies and 1,234 patients. The mean PE (MPE) for cystatin C-based eGFR was 4.378 mL min

conclusionCystatin C-based eGFR equations are better than creatinine-based eGFR equations in predicting the clearance of vancomycin. This suggests that utilising cystatin C-based eGFR equations could result in better accuracy and precision to predict vancomycin pharmacokinetic parameters.

Indexed as

Bayes TheoremCreatinineCystatin CDatabases, FactualGlomerular Filtration RateHumansVancomycinCreatinineCystatin CVancomycinClearanceCreatinineCystatin CeGFRVancomycin

Identifiers

PMID32959542
PMCPMC7505726

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Registered trials

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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.