Evidence map›Paper›PMID 37023855›Full record

ArticleJournal of pharmaceutical sciences2023

Predicting the Effect of Renal Function on Systemic Clearance: Is a Simple Scaling Method Sufficient?

Patrick J McNamara, Darius Meiman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pharmaceutical sciences, 2023. 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

2 authors.

Patrick J McNamaraDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 S. Limestone, 361. Lexington, Kentucky 40536-0596, USA. Electronic address: pmcnamar@email.uky.edu.
Darius MeimanDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
NIGMS NIH HHS T32 GM008425
6 · The paper itself

Abstract

purposeTo employ a simple scaling method to predict systemic or oral clearance for drugs that are primarily renally cleared knowing the fraction eliminated in urine (f

methodsObservations evaluating drug clearance as a function of creatinine clearance for renally cleared drugs (f

resultsFor patients categorized as severe kidney disease (Cl

conclusionA scaling approach to account for alterations in drug clearance appears to have its advantages and represents a simple and generalizable method for guiding dose adjustments in patients with decreased renal function for drugs that are renally cleared (f

Indexed as

KidneyKidney DiseasesHumansKineticsClinical pharmacologyDose adjustmentsDrug clearanceKidney diseaseModel-informed drug developmentPersonalized medicinePharmacokineticsPrecision dosingRenal impairment

Identifiers

PMID37023855
PMCPMC13098391

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.