Evidence map›Paper›PMID 30690761›Full record

ReviewBritish journal of clinical pharmacology2019

Pharmacometrics and systems pharmacology for metabolic bone diseases.

Matthew M Riggs, Serge Cremers

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. On precision dosing of oral small molecule drugs in oncology.British journal of clinical pharmacology · 2021
    Review
  7. Article
  8. Article
  9. Pharmacometrics and systems pharmacology for metabolic bone diseases.British journal of clinical pharmacology · 2019
    Review
  10. Drugs for the treatment of metabolic bone diseases.British journal of clinical pharmacology · 2019
    Article
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 at 2 institutions in 1 country.

Matthew M RiggsMetrum Research Group LLC, Tariffville, CT, USA.ORCID 0000-0001-5542-6058
Serge CremersDepartments of Pathology & Cell Biology and Medicine, Columbia University Medical Center, New York, NY, USA.ORCID 0000-0002-6800-5532
Columbia University Irving Medical Center · USMetrum Research Group (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical modelling and simulation (M&S) of drug concentrations, pharmacologic effects and the (patho)physiologic systems within which they interact can be powerful tools for the preclinical, translational and clinical development of drugs. Indeed, the Prescription Drug User Fee Act (PDUFA VI), incorporated as part of the FDA Reauthorization Act of 2017 (FDARA), highlights the goal of advancing model-informed drug development (MIDD). MIDD can benefit development across many drug classes, including for metabolic bone diseases such as osteoporosis, cancer-related and numerous rare metabolic bone diseases; conditions characterized by significant morbidity and mortality. A drought looms in terms of the availability of new drugs to better treat these devastating diseases. This review provides an overview of several M&S approaches ranging from simple pharmacokinetic to integrated pharmacometric and systems pharmacology modelling. Examples are included to illustrate the use of these approaches during the development of several drugs for metabolic bone diseases such as bisphosphonates, denosumab, teriparatide and sclerostin inhibitors (romosozumab and blosozumab).

Indexed as

Models, BiologicalSystems BiologyAnimalsBone Density Conservation AgentsBone Diseases, MetabolicBone RemodelingComputer SimulationDrug DevelopmentDrug MonitoringHumansPatient SafetyRisk AssessmentBone Density Conservation Agentsdrug developmentmodelling and simulationpharmacokinetic-pharmacodynamicpharmacometricssystemic pharmacology

Identifiers

PMID30690761
PMCPMC6533428
OpenAlexW2913938701

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.