Evidence map›Paper›PMID 27069774›Full record

ArticleCPT: pharmacometrics & systems pharmacology2016

Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

EFPIA MID3 Workgroup, S F Marshall, R Burghaus, V Cosson, S Y A Cheung, M Chenel, O DellaPasqua, N Frey, B Hamrén, L Harnisch and 9 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 5 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

186 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  6. Trial
  7. Population pharmacokinetic and exposure-response study of a novel anti-tuberculosis drug to inform its dosage design in phase III clinical trial.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025
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  19. Population Pharmacokinetic Comparability of CT-P16 Versus EU-AvastinBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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126 more citing papers are in PubMed but not listed here.

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

19 authors.

EFPIA MID3 Workgroup
S F MarshallPharmacometrics Pfizer Ltd Sandwich UK.
R BurghausSystems Pharmacology & Medicine Bayer Pharma AG Wuppertal Germany.
V CossonClinical Pharmacometrics F. Hoffmann-La Roche Ltd Basel Switzerland.
S Y A CheungQuantitative Clinical Pharmacology AstraZeneca Cambridge UK.
M ChenelInstitut de Recherches Internationales Servier Suresnes France.
O DellaPasquaClinical Pharmacology Modelling & Simulation GlaxoSmithKline R&D Ltd Uxbridge UK.
N FreyClinical Pharmacometrics F. Hoffmann-La Roche Ltd Basel Switzerland.
B HamrénQuantitative Clinical Pharmacology AstraZeneca Gothenburg Sweden.
L HarnischPharmacometrics Pfizer Ltd Sandwich UK.
F IvanowGlobal regulatory policy & Intelligence Janssen R&D High Wycombe UK.
T KerbuschQuantitative Pharmacology & Pharmacometrics MSD Oss Netherlands.
J LippertSystems Pharmacology & Medicine Bayer Pharma AG Wuppertal Germany.
P A MilliganPharmacometrics Pfizer Ltd Sandwich UK.
S RohouGlobal Regulatory Affairs & Policy AstraZeneca Paris France.
A StaabTranslational Medicine & Clinical Pharmacology Boehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany.
J L SteimerPharmacometrics Novartis Basel CH.
C TornøeClinical Reporting Novo Nordisk A/S Søborg Denmark.
S A G VisserQuantitative Pharmacology & Pharmacometrics Merck & Co Kenilworth USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This document was developed to enable greater consistency in the practice, application, and documentation of Model-Informed Drug Discovery and Development (MID3) across the pharmaceutical industry. A collection of "good practice" recommendations are assembled here in order to minimize the heterogeneity in both the quality and content of MID3 implementation and documentation. The three major objectives of this white paper are to: i) inform company decision makers how the strategic integration of MID3 can benefit R&D efficiency; ii) provide MID3 analysts with sufficient material to enhance the planning, rigor, and consistency of the application of MID3; and iii) provide regulatory authorities with substrate to develop MID3 related and/or MID3 enabled guidelines.

Indexed as

Guidelines as TopicDocumentationDrug DesignTechnology, Pharmaceutical

Identifiers

PMID27069774
PMCPMC4809625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.