Evidence map›Paper›PMID 31840271›Full record

ArticleBritish journal of clinical pharmacology2020

Pharmacokinetics of human antithrombin III concentrate in the immediate postoperative period after liver transplantation.

Bo Rim Kim, Jaeseong Oh, Kyung-Sang Yu, Ho Geol Ryu

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 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

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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

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Bo Rim KimDepartments of Anesthesiology & Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID 0000-0002-9464-0150
Jaeseong OhClinical Pharmacology & Therapeutics, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID 0000-0001-6275-8587
Kyung-Sang YuClinical Pharmacology & Therapeutics, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID 0000-0003-0921-7225
Ho Geol RyuDepartments of Anesthesiology & Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID 0000-0001-8952-6049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAntithrombin III (AT-III) concentrates have been used to prevent critical thrombosis in the immediate post-liver transplantation period without clear evidence regarding the optimal dose or administration scheme. The relationship between the AT-III dosage and the plasma activity levels during the period was evaluated in this study.

methodsThe plasma AT-III activity levels and clinical data obtained from patients who received liver transplantation from January 2017 to September 2018 were retrospectively analysed. A population pharmacokinetic (PK) model was developed using nonlinear mixed-effects method and externally validated thereafter. Several dosing scenarios were simulated to maintain the plasma AT-III activity level within the normal range using the developed PK model to search for an optimal AT-III dosing regimen.

resultsThe plasma AT-III activity levels were best described by a single compartment model with first order elimination kinetics. The recovery of endogenous AT-III level during the postoperative days was modelled using an E

conclusionA population PK model of AT-III concentrate was developed using data from liver recipients. Dosing scenarios simulated in our study may help establish a practical guide for AT-III concentrate titration after liver transplantation.

Indexed as

Antithrombin IIILiver TransplantationFemaleHumansMaleModels, BiologicalPostoperative PeriodRetrospective StudiesTreatment OutcomeAntithrombin IIIantithrombin IIIdosageliver transplantationpopulation pharmacokinetics

Identifiers

PMID31840271
PMCPMC7163384

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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.