Evidence map›Paper›PMID 23900693›Full record

Trial reportEuropean journal of clinical pharmacology2013

Pharmacokinetics of terbutaline in chronic kidney disease.

Anders Bastiansen, Sarah Eggert, Erland Pedersen

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Anders BastiansenDepartment of Anaesthesiology and Intensive Care Medicine, Køge University Hospital, Lykkebækvej, DK-4600, Køge, Denmark, anders@bastiansen.dk.
Sarah Eggert
Erland Pedersen
Zealand University Hospital Køge · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn healthy individuals upwards of 90 % of an injected dose of terbutaline is excreted in the urine. The purpose of this study is to determine the pharmacokinetic properties of terbutaline in patients with severe renal impairment as defined by a glomerular filtration rate (GFR) below 30 mL/min.

methodsTen patients were included in the study. GFR was measured with Cr-EDTA clearance. They were given an intravenous injection of 0.500 mg of terbutaline. Blood samples were collected at intervals for 60 h and urine samples were collected for 96 h. The concentration of terbutaline in the blood and in the urine was used to calculate pharmacokinetic parameters.

resultsIn patients with normal renal function the total clearance of terbutaline is 2.23-3 mL/min/kg. In our population the total clearance of terbutaline was found to be 1.72 (SD: 0.49) mL/min/kg of which approximately 15 % (0.25 mL/min/kg) was renal clearance. We calculated a distribution volume at steady state of 0.74 (SD: 0.22) L/kg with a terminal half-life of 7.93 (SD: 4.06) hours. The mean residence time (MRT) was 8.35 (SD: 4.93) hours.

conclusionsIn healthy individuals the excretion of terbutaline is foremost renal but this study shows that severe renal impairment does not lower the total clearance of terbutaline to a degree that might be expected from the Cr-EDTA clearance. However, more research is needed to determine if dosage adjustment is warranted in patients with CKD.

Indexed as

Adrenergic beta-2 Receptor AgonistsAdultAgedFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicTerbutalineYoung AdultAdrenergic beta-2 Receptor AgonistsTerbutaline

Identifiers

PMID23900693
OpenAlexW2015332229

What OpenQuestion holds

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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.