SynthesisPharmaceutical research2013
Meta-analysis of oro-cecal transit time in fasting subjects.
Synthesis in Pharmaceutical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pharmacokinetics in Patients with Cystic Fibrosis: A Systematic Review of Data Published Between 1999 and 2019.Clinical pharmacokinetics · 2020Pooled it
- Reevaluating our understanding of lactulose breath tests by incorporating hydrogen sulfide measurements.JGH open : an open access journal of gastroenterology and hepatology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeComputer simulations are utilized during pharmaceutical development in order to design appropriate formulation based on the absorption, distribution, metabolism, and excretion (ADME) and physicochemical properties of target compounds, so that adequate prescriptions are offered to patients. Oro-cecal transit time (OCTT) is an important factor affecting these simulations because the absorption of drug that administered orally and the resultant pharmacokinetic profile are expressed as a function of time. Given the large intra- and inter-individual variance in OCTT, it is unsurprising that an accurate model has not yet been proposed.
methodsWe conducted a meta-analysis using subject-level data to construct a statistical model that predicted OCTT. Literature that utilized lactulose to measure OCTT was identified and analyzed using a mixed-effects model.
resultsThe OCTTs of fasting healthy subjects were expressed using a linear model, with the amount of lactulose as the single significant explanatory factor. We found that this model could statistically distinguish the OCTTs of subjects with altered physical status from those of healthy people. Specifically, cystic fibrosis and celiac disease most significantly affected OCTT.
conclusionThe OCTT models developed herein incorporate inter-subject variations and can contribute to providing more accurate predictions of drug pharmacokinetic profiles.
Indexed as
Identifiers
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Registered trials
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.