Evidence map›Paper›PMID 36277600›Full record

ReviewDrug design, development and therapy2022

A Review of Population Pharmacokinetic Models of Posaconazole.

Qin Ding, Shuqi Huang, Zexu Sun, Kaifeng Chen, Xin Li, Qi Pei

Open access · goldAbstract readReview
In one paragraph

Review in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Qin Ding *Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Shuqi Huang *Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Zexu SunXiangya School of Pharmaceutical Sciences, Central South University, Changsha, People's Republic of China.
Kaifeng ChenDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Xin LiDepartment of Hematology, The Third Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Qi PeiDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, People's Republic of China.ORCID 0000-0002-6711-4251
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posaconazole is often used for the prophylaxis and treatment of invasive fungal infections (IFI). However, intra- and inter-individual differences and drug interactions affect the efficacy and safety of posaconazole. Precision dosing of posaconazole based on the population pharmacokinetic (PopPK) model may assist in making significant clinical decisions. This review aimed to comprehensively summarize the published PopPK models of posaconazole and analyze covariates that significantly influence posaconazole exposure. Articles published until May 2022 for PopPK analysis of posaconazole were searched in PubMed and EMBASE databases. Demographic characteristics, model characteristics, and results of PopPK analysis were extracted from the selected articles. In addition, the steady-state pharmacokinetic profiles of posaconazole were simulated at different covariate levels and dosing regimens. Out of the 13 studies included in our review, nine studies included adults, three included children, and one included both adults and children. All oral administration models were one-compartment models, and all intravenous administration models were two-compartment models. Body weight, proton pump inhibitors, and incidence of diarrhea were found to be important covariates. Clinically, the potential impact of factors such as patient physiopathologic characteristics and comorbid medications on posaconazole pharmacokinetics should be considered. Dose adjustment in combination with TDM or replacement with a tablet or intravenous formulation with higher exposure may be an effective way to ensure drug efficacy as well as to reduce fungal resistance. Meanwhile, published models require further external evaluation to examine extrapolation.

Indexed as

Antifungal AgentsProton Pump InhibitorsAdultChildHumansTabletsTriazolesAntifungal AgentsposaconazoleProton Pump InhibitorsTabletsTriazolesnonlinear mixed effects modelingpopulation pharmacokineticsposaconazoletherapeutic drug monitoring

Identifiers

PMID36277600
PMCPMC9584355
OpenAlexW4306869215

What OpenQuestion holds

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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.