Evidence map›Paper›PMID 19015955›Full record

ArticlePharmaceutical research2008

The operational multiple dosing half-life: a key to defining drug accumulation in patients and to designing extended release dosage forms.

Selma Sahin, Leslie Z Benet

Abstract read
In one paragraph

Article in Pharmaceutical research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Article
  9. Review
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  18. Effect of Flavonoid-Rich Extract FromBioinformatics and biology insights · 2022
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  19. Journal of biomolecular structure & dynamics · 2021
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  20. Article
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

2 authors.

Selma SahinDepartment of Biopharmaceutical Sciences, University of California, San Francisco, CA 94143-0912, USA.
Leslie Z Benet

Funding

Transporter-Enzyme Interplay Evaluation via Microfluidiic HTS Cell Culture DeviceR21GM075900 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENET, LESLIE Z · 2006 to 2008
$1.1M
NIGMS NIH HHS R21 GM075900NIGMS NIH HHS R21 GM 75900
6 · The paper itself

Abstract

Half-life (t (1/2)) is the oldest but least well understood pharmacokinetic parameter, because most definitions are related to hypothetical 1-compartment body models that don't describe most drugs in humans. Alternatively, terminal half-life (t (1/2,z)) is utilized as the single defining t (1/2) for most drugs. However, accumulation at steady state may be markedly over predicted utilizing t (1/2, z). An apparent multiple dosing half-life (t (1/2, app)) was determined from peak and trough steady-state ratios and found to be significantly less than reported terminal t (1/2)s for eight orally dosed drugs with t (1/2,z) values longer than one day. We define a new parameter, "operational multiple dosing half-life" (t (1/2, op)), as equal to the dosing interval at steady-state where the maximum concentration at steady-state is twice the maximum concentration found for the first dose. We demonstrate for diazepam that the well-accepted concept that t (1/2,z) representing the great majority of the AUC will govern accumulation can be incorrect. Using oral diazepam, we demonstrate that t (1/2, op) is remarkably sensitive to the absorption t (1/2), even when this absorption t (1/2) is much less than t (1/2,z,) and describe the relevance of this in designing extended release dosage forms. The t (1/2, op) is compared with previously proposed half-lives for predicting accumulation.

Indexed as

Delayed-Action PreparationsHalf-LifeHumansDelayed-Action Preparations

Identifiers

PMID19015955
PMCPMC3581066

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.