Evidence map›Paper›PMID 24672799›Full record

ArticleBioMed research international2014

Semiphysiological versus empirical modelling of the population pharmacokinetics of free and total cefazolin during pregnancy.

J G Coen van Hasselt, Karel Allegaert, Kristel van Calsteren, Jos H Beijnen, Jan H M Schellens, Alwin D R Huitema

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In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Optimal administration of cefazolin prophylaxis for cesarean delivery.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Review
  8. Effect of Maternal Obesity on Maternal-Fetal Transfer of Preoperative Cefazolin at Cesarean Section.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

J G Coen van HasseltDepartment of Clinical Pharmacology, Netherlands Cancer Institute, Plesmanlaan 121, P.O. Box 1066 CX, Amsterdam, The Netherlands ; Department of Pharmacy & Pharmacology, Netherlands Cancer Institute/Slotervaart Hospital, Louwesweg 6, P.O. Box 90440, 1006 BK Amsterdam, The Netherlands.
Karel AllegaertDepartment of Development and Regeneration, KU Leuven, Herestraat 49, 300 Leuven, Belgium ; Neonatal Intensive Care Unit, University Hospitals Leuven, Herestraat 49, 300 Leuven, Belgium.
Kristel van CalsterenDepartment of Development and Regeneration, KU Leuven, Herestraat 49, 300 Leuven, Belgium ; Obstetrics and Gynecology, University Hospitals Leuven, Herestraat 49, 300 Leuven, Belgium.
Jos H BeijnenDepartment of Pharmacy & Pharmacology, Netherlands Cancer Institute/Slotervaart Hospital, Louwesweg 6, P.O. Box 90440, 1006 BK Amsterdam, The Netherlands ; Division of Pharmacoepidemiology & Clinical Pharmacology, Department of Pharmaceutical Sciences, Faculty of Science, Utrecht University, P.O. Box 80125, 3508 TC Utrecht, The Netherlands.
Jan H M SchellensDepartment of Clinical Pharmacology, Netherlands Cancer Institute, Plesmanlaan 121, P.O. Box 1066 CX, Amsterdam, The Netherlands ; Division of Pharmacoepidemiology & Clinical Pharmacology, Department of Pharmaceutical Sciences, Faculty of Science, Utrecht University, P.O. Box 80125, 3508 TC Utrecht, The Netherlands.
Alwin D R HuitemaDepartment of Clinical Pharmacology, Netherlands Cancer Institute, Plesmanlaan 121, P.O. Box 1066 CX, Amsterdam, The Netherlands ; Department of Pharmacy & Pharmacology, Netherlands Cancer Institute/Slotervaart Hospital, Louwesweg 6, P.O. Box 90440, 1006 BK Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work describes a first population pharmacokinetic (PK) model for free and total cefazolin during pregnancy, which can be used for dose regimen optimization. Secondly, analysis of PK studies in pregnant patients is challenging due to study design limitations. We therefore developed a semiphysiological modeling approach, which leveraged gestation-induced changes in creatinine clearance (CrCL) into a population PK model. This model was then compared to the conventional empirical covariate model. First, a base two-compartmental PK model with a linear protein binding was developed. The empirical covariate model for gestational changes consisted of a linear relationship between CL and gestational age. The semiphysiological model was based on the base population PK model and a separately developed mixed-effect model for gestation-induced change in CrCL. Estimates for baseline clearance (CL) were 0.119 L/min (RSE 58%) and 0.142 L/min (RSE 44%) for the empirical and semiphysiological models, respectively. Both models described the available PK data comparably well. However, as the semiphysiological model was based on prior knowledge of gestation-induced changes in renal function, this model may have improved predictive performance. This work demonstrates how a hybrid semiphysiological population PK approach may be of relevance in order to derive more informative inferences.

Indexed as

Empirical ResearchModels, BiologicalAdultCefazolinCreatinineDemographyFemaleHumansNonlinear DynamicsPregnancyTime FactorsYoung AdultCefazolinCreatinine

Identifiers

PMID24672799
PMCPMC3930089

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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.