Evidence map›Paper›PMID 33049120›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Physiologically-Based Pharmacokinetic Modelling of Creatinine-Drug Interactions in the Chronic Kidney Disease Population.

Hiroyuki Takita, Daniel Scotcher, Rajkumar Chinnadurai, Philip A Kalra, Aleksandra Galetin

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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  5. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
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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

5 authors at 1 institution in 2 countries.

Hiroyuki TakitaCentre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-4656-4712
Daniel ScotcherCentre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0001-9144-3824
Rajkumar ChinnaduraiDepartment of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, UK.ORCID 0000-0003-3973-6595
Philip A KalraDepartment of Renal Medicine, Salford Royal NHS Foundation Trust, Salford, UK.ORCID 0000-0001-7652-1572
Aleksandra GaletinCentre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-3933-5217
Manchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated serum creatinine (S

Indexed as

AdultAgedAged, 80 and overCimetidineComputer SimulationCreatinineCytochrome P-450 CYP1A2 InhibitorsCytochrome P-450 CYP2C8 InhibitorsDrug InteractionsFamotidineFemaleGlomerular Filtration RateHistamine H2 AntagonistsHumansLongitudinal StudiesMaleCimetidineCreatinineCytochrome P-450 CYP1A2 InhibitorsCytochrome P-450 CYP2C8 InhibitorsFamotidineHistamine H2 AntagonistsTrimethoprim

Identifiers

PMID33049120
PMCPMC7762809
OpenAlexW3091926099

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.