Evidence map›Paper›PMID 29159710›Full record

ArticleClinical pharmacokinetics2018

Prediction of Free from Total Mycophenolic Acid Concentrations in Stable Renal Transplant Patients: A Population-Based Approach.

Helena Colom, Franc Andreu, Teun van Gelder, Dennis A Hesselink, Brenda C M de Winter, Oriol Bestard, Joan Torras, Josep M Cruzado, Josep M Grinyó, Núria Lloberas

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

10 authors at 3 institutions in 2 countries.

Helena ColomDepartment of Pharmacy and Pharmaceutical Technology and Physical-Chemistry, Biopharmaceutics and Pharmacokinetics Unit, School of Pharmacy, University of Barcelona, Barcelona, Spain.
Franc AndreuDepartment of Pharmacy and Pharmaceutical Technology and Physical-Chemistry, Biopharmaceutics and Pharmacokinetics Unit, School of Pharmacy, University of Barcelona, Barcelona, Spain.
Teun van GelderDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Dennis A HesselinkDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Brenda C M de WinterDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Oriol BestardNephrology Department, Bellvitge University Hospital (IDIBELL), Barcelona, Spain.
Joan TorrasNephrology Department, Bellvitge University Hospital (IDIBELL), Barcelona, Spain.
Josep M CruzadoNephrology Department, Bellvitge University Hospital (IDIBELL), Barcelona, Spain.
Josep M GrinyóNephrology Department, Bellvitge University Hospital (IDIBELL), Barcelona, Spain.
Núria LloberasNephrology Department, Bellvitge University Hospital (IDIBELL), Barcelona, Spain. nlloberas@ub.edu.ORCID 0000-0002-3387-5757
Bellvitge University Hospital · ESErasmus MC · NLUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA population pharmacokinetic (PK) protein-binding model was developed to (1) predict free mycophenolic acid (fMPA) based on total MPA (tMPA) concentrations in renal transplant patients, to establish the therapeutic range of fMPA through pharmacokinetic-pharmacodynamic studies; and (2) provide a guideline for dosing mycophenolate mofetil (MMF).

methodsFull PK profiles of 56 patients (from five different occasions) during the first year after transplantation who were treated with oral MMF and cyclosporine, or macrolides (either tacrolimus or sirolimus), were analysed. fMPA protein-binding was modelled using nonlinear mixed effects modelling (NONMEM). The influence of physiological factors and coadministered immunosupressant was studied.

resultsA two-compartment model with first-order absorption and elimination, linear protein binding and enterohepatic circulation (EHC) best described the PK of MPA. Different recycling rate constants were considered depending on the coadministered immunosuppressant. The protein-binding rate constant (K

conclusionsA reliable protein-binding population PK model was developed for prediction of fMPA or tMPA from each other and for dose guiding in stable renal transplant recipients.

Indexed as

Kidney TransplantationModels, TheoreticalTransplant RecipientsAdultFemaleForecastingHumansImmunosuppressive AgentsMaleMiddle AgedMycophenolic AcidYoung AdultImmunosuppressive AgentsMycophenolic Acid

Identifiers

PMID29159710
OpenAlexW2770312634

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.