Evidence map›Paper›PMID 19381840›Full record

ReviewThe AAPS journal2009

Population-based mechanistic prediction of oral drug absorption.

Masoud Jamei, David Turner, Jiansong Yang, Sibylle Neuhoff, Sebastian Polak, Amin Rostami-Hodjegan, Geoffrey Tucker

Abstract readReview
In one paragraph

Review in The AAPS journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 3 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

174 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Circadian-guided asthma therapy: compressed-coated chronotherapeutic tablets for precision early-morning drug delivery.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Review
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114 more citing papers are in PubMed but not listed here.

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

7 authors.

Masoud JameiModelling and Simulation Group, Simcyp Limited, Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK. M.Jamei@simcyp.com
David Turner
Jiansong Yang
Sibylle Neuhoff
Sebastian Polak
Amin Rostami-Hodjegan
Geoffrey Tucker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bioavailability of drugs from oral formulations is influenced by many physiological factors including gastrointestinal fluid composition, pH and dynamics, transit and motility, and metabolism and transport, each of which may vary with age, gender, race, food, and disease. Therefore, oral bioavailability, particularly of poorly soluble and/or poorly permeable compounds and those that are extensively metabolized, often exhibits a high degree of inter- and intra-individual variability. While several models and algorithms have been developed to predict bioavailability in an average person, efforts to accommodate intrinsic variability in the component processes are less common. An approach that incorporates such variability for human populations within a mechanistic framework is described together with examples of its application to drug and formulation development.

Indexed as

PharmacokineticsAnimalsBiological AvailabilityBiotransformationChemistry, PharmaceuticalForecastingHumansIntestinal AbsorptionPharmaceutical PreparationsPopulationSolubilityPharmaceutical Preparations

Identifiers

PMID19381840
PMCPMC2691459

What OpenQuestion holds

Textmetadata
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.