Evidence map›Paper›PMID 25655191›Full record

ReviewBritish journal of clinical pharmacology2015

Cystatin C as a potential biomarker for dosing of renally excreted drugs.

Nguessan Aimé Brou, Evelyne Jacqz-Aigrain, Wei Zhao

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

3 authors at 2 institutions in 3 countries.

Nguessan Aimé BrouDepartment of Paediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Paris, France.
Evelyne Jacqz-AigrainDepartment of Paediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Paris, France.
Wei ZhaoDepartment of Pharmacy, Qianfoshan Hospital Affiliated to Shandong University, Jian, China.
Université Paris Cité · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the present study was to review the available pharmacokinetic evidence for the utility of cystatin C (CysC) as a marker of renal function to predict the dose of renally excreted drugs.The bibliographic search used PubMed and EMBASE databases, from its inception through to January 2014, with the following keywords 'pharmacokinetics' and 'cystatin C'.Sixteen pharmacokinetic publications were identified and seven drugs primarily excreted by the kidney were studied. Among them, only one study was performed in children, the others were performed in adults and/or elderly subjects, either healthy volunteers or patients with variable clinical conditions, such as cystic fibrosis and cancer. Most of studies (n = 13/16) demonstrated that CysC was better correlated with clearance/trough concentration of evaluated drugs compared with creatinine.Our review supports that CysC is a good marker of renal function to predict dose of renally excreted drugs. Efforts should be made to evaluate the impact of CysC in special populations in order to define its clinical value in dosing optimization.

Indexed as

Anti-Infective AgentsAntineoplastic AgentsBiomarkersCystatin CDigoxinHumansKidney Function TestsAnti-Infective AgentsAntineoplastic AgentsBiomarkersCystatin CDigoxinclearancecystatin Cdose regimenglomerular filtration ratepharmacokineticsrenal eliminationrenal function

Identifiers

PMID25655191
PMCPMC4500321
OpenAlexW2133446804

What OpenQuestion holds

Textmetadata
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.