Evidence map›Paper›PMID 40773021›Full record

ReviewHandbook of experimental pharmacology2025

Role of Data in Development and Application of Quantitative Systems Pharmacology Models.

Jason R Chan, Abhishek Gulati, Mary E Spilker, Erica L Bradshaw

Abstract readReview
PubMed Publisher
In one paragraph

Review in Handbook of experimental pharmacology, 2025. 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

4 authors.

Jason R ChanGlobal PK/PD & Pharmacometrics, Eli Lilly and Company, Indianapolis, IN, USA. jrchan@lilly.com.
Abhishek GulatiQuantitative Pharmacology & Pharmacometrics, Merck & Co., Inc., West Point, PA, USA.
Mary E SpilkerPharmacokinetics, Dynamics and Metabolism, Pfizer Inc., La Jolla, CA, USA.
Erica L BradshawBiomosaic Consulting, LLC, Carlsbad, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative systems pharmacology (QSP) is an interdisciplinary approach that integrates mathematical modeling, biological knowledge, and experimental data to gain insights into the complex dynamics of drug action and disease progression on the human physiological system. Different types of data from multiple and often disparate sources are used throughout all phases of QSP model development. Herein, we explore the various types of data used to inform the development and application of QSP models, their sources, and how the quality of data impacts the interpretation of model-derived results.

Indexed as

Models, BiologicalNetwork PharmacologyPharmacologySystems BiologyAnimalsHumansAssay systemsBiological variabilityData curationData integrationMeasurement variabilitySystems pharmacology

Identifiers

PMID40773021

What Socratic 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 Socratic graph.