Evidence map›Paper›PMID 36450606›Full record

ArticleNeurology2023

Handling Delayed or Missed Dose of Antiseizure Medications: A Model-Informed Individual Remedial Dosing.

Zi-Ran Li, Chen-Yu Wang, Wei-Wei Lin, Yue-Ting Chen, Xiao-Qin Liu, Zheng Jiao

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Zi-Ran LiFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China. jiaozhen@online.sh.cn.ORCID 0000-0001-6740-6003
Chen-Yu WangFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.ORCID 0000-0003-1808-361X
Wei-Wei LinFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China. jiaozhen@online.sh.cn.
Yue-Ting ChenFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.
Xiao-Qin LiuFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China.
Zheng JiaoFrom the Department of Pharmacy (Z.L., C.W., Y.C., X.L., Z.J.), Shanghai Chest Hospital, Shanghai Jiao Tong University, China; Department of Pharmacy (Z.L., X.L.), Huashan Hospital, Fudan University, Shanghai, China; Department of Pharmacy (W.L.), The First Affiliated Hospital, Fujian Medical University, Fuzhou, China; and School of Basic Medicine and Clinical Pharmacy (Y.C.), China Pharmaceutical University, Nanjing, China. jiaozhen@online.sh.cn.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDelayed or missed antiseizure medications (ASMs) doses are common during long-term or lifelong antiepilepsy treatment. This study aims to explore optimal individualized remedial dosing regimens for delayed or missed doses of 11 commonly used ASMs.

methodsTo explore remedial dosing regimens, Monte Carlo simulation was used based on previously identified and published population pharmacokinetic models. Six remedial strategies for delayed or missed doses were investigated. The deviation time outside the individual therapeutic range was used to evaluate each remedial regimen. The influences of patients' demographics, concomitant medication, and scheduled dosing intervals on remedial regimens were assessed. RxODE and Shiny in R were used to perform Monte Carlo simulation and recommend individual remedial regimens.

resultsThe recommended remedial regimens were highly correlated with delayed time, scheduled dosing interval, and half-life of the ASM. Moreover, the optimal remedial regimens for pediatric and adult patients were different. The renal function, along with concomitant medication that affects the clearance of the ASM, may also influence the remedial regimens. A web-based dashboard was developed to provide individualized remedial regimens for the delayed or missed dose, and a user-defined module with all parameters that could be defined flexibly by the user was also built. DISCUSSION: Monte Carlo simulation based on population pharmacokinetic models may provide a rational approach to propose remedial regimens for delayed or missed doses of ASMs in pediatric and adult patients with epilepsy.

Indexed as

EpilepsyAdultChildComputer SimulationDrug Administration ScheduleHumansModels, BiologicalMonte Carlo Method

Identifiers

PMID36450606
PMCPMC9990430
OpenAlexW4310566289

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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.