Evidence map›Paper›PMID 32812097›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2020

Bolus pharmacokinetics: moving beyond mass-based dosing to guide drug administration.

Elie Sarraf

Abstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2020. 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
–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

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.

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

1 author.

Elie SarrafDepartment of Anesthesiology & Perioperative Medicine, Penn State Health Milton S. Hershey Medical Center, 500 University Drive, H187, Hershey, PA, 17033, USA. dr.elsar@gmail.com.ORCID 0000-0002-2925-0850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the common approach of bolus drug dosing using a patient's mass, a more tailored approach would be to use empirically derived pharmacokinetic models. Previously, this could only be possible though the use of computer simulation using programs which are rarely available in clinical practice. Through mathematical manipulations and approximations, a simplified set of equations is demonstrated that can identify a bolus dose required to achieve a specified target effect site concentration. The proposed solution is compared against simulations of a wide variety of pharmacokinetic models. This set of equations provides a near-identical solution to the simulation approach. A boundary condition is established to ensure the derived equations have an acceptable error. This approach may allow for more precise administration of medications with the use of point of care technology and potentially allows for pharmacokinetic dosing in artificial intelligence problems.

Indexed as

Artificial IntelligenceDrug Dosage CalculationsModels, BiologicalBody WeightComputer SimulationDose-Response Relationship, DrugDrug Therapy, Computer-AssistedHumansInfusions, IntravenousPoint-of-Care SystemsBolus dosingComputational pharmacokineticsPeak drug effectTarget controlled infusion

Identifiers

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.