Evidence map›Paper›PMID 42781453›Full record

ArticleKidney international reports2026

Impact of mGFR Versus eGFR on the Pharmacokinetics of a Renally Excreted Model Drug in Older Medical Patients: A Proof-of-Concept Trial.

Ida K Storgaard, Morten B Houlind, Louise Ws Christensen, Rikke L Nielsen, Aino L Andersen, Olivia Bornæs, Helle G Juul-Larsen, Johnny K H Dang, Baker N Jawad, Izzet Altintas and 7 more

Abstract read
In one paragraph

Article in Kidney international reports, 2026. 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

17 authors.

Ida K StorgaardDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Morten B HoulindDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Louise Ws ChristensenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Rikke L NielsenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Aino L AndersenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Olivia BornæsDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Helle G Juul-LarsenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Johnny K H DangDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Baker N JawadDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Izzet AltintasDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Juliette TavenierDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Esteban PorriniLaboratory of Renal Function (LFR), Faculty of Medicine, University of La Laguna, La Laguna, Spain.
Esben IversenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Morten DamgaardDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Ove AndersenDepartment of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Mads HornumDepartment of Nephrology and Endocrinology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Trine M LundDepartment of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Accurate assessment of kidney function is essential for dosing renally eliminated drugs, such as gentamicin. However, creatinine-based estimated glomerular filtration rate (eGFR) equations may be inaccurate in older adults because creatinine concentrations are influenced by nonrenal factors, including reduced muscle mass and frailty. This study investigated whether measured GFR (mGFR) and 10 different eGFR equations improve the modeling of gentamicin renal clearance, used as a model compound for renally eliminated drugs, when included as covariates in a population pharmacokinetic (popPK) model of older medical patients with poor appetite. Methods: This prospective diagnostic accuracy and population pharmacokinetic study evaluated mGFR determined by 99mTc-DTPA plasma clearance and 10 eGFR equations on the basis of plasma creatinine, cystatin C, β2-microglobulin, and/or β-trace protein. Poor appetite was assessed using the Simplified Nutritional Appetite Questionnaire (SNAQ). Plasma gentamicin concentrations were measured over 22 hours after a single i.v. dose of 5 mg/kg. Gentamicin concentration-time profiles were analyzed using nonlinear mixed-effects modeling. Improvement in model performance was assessed by changes in objective function value (OFV) and interindividual variability (IIV) in clearance. Results: A total of 52 older medical patients with poor appetite (median age 79.5 [interquartile range, {IQR} 73.0-84.3] years, 56% female, median SNAQ score 12 [IQR 11-13]) were included. mGFR expressed in ml/min provided the greatest improvement in model fit when included as a covariate for gentamicin clearance (-ΔOFV = 115.00). Among eGFR equations, combined creatinine-cystatin C equations expressed in ml/min yielded the best performance (-ΔOFV = 72.58-77.11), whereas creatinine-only equations showed the poorest improvement (-ΔOFV < 63.69). Overall, absolute GFR estimates performed better than body surface area-indexed estimates. Conclusions: Creatinine-only eGFR equations may be suboptimal proxies for gentamicin clearance in this patient population. If measuring GFR is unfeasible, estimating GFR on the basis of a combination of creatinine and cystatin C is the best alternative.

Indexed as

drug dosinggentamicingeriatricsglomerular filtration ratemalnutritionpopulation pharmacokinetic modeling

Identifiers

PMID42781453
PMCPMC13599624

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.