Evidence map›Paper›PMID 25353186›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

Simultaneous Exposure-Response Modeling of ACR20, ACR50, and ACR70 Improvement Scores in Rheumatoid Arthritis Patients Treated With Certolizumab Pegol.

B D Lacroix, M O Karlsson, L E Friberg

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  7. Discrete-time neural Markov models.BMC medical research methodology · 2026
    Article
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  9. A tutorial on pharmacometric Markov models.CPT: pharmacometrics & systems pharmacology · 2025
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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

3 authors.

B D Lacroix1] Department of Pharmaceutical Biosciences, Pharmacometrics Group, Uppsala University, Uppsala, Sweden [2] UCB Pharma, Braine-l'Alleud, Belgium.
M O KarlssonDepartment of Pharmaceutical Biosciences, Pharmacometrics Group, Uppsala University, Uppsala, Sweden.
L E FribergDepartment of Pharmaceutical Biosciences, Pharmacometrics Group, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Markovian approach has been proposed to model American College of Rheumatology's (ACR) response (ACR20, ACR50, or ACR70) reported in rheumatoid arthritis clinical trials to account for the dependency of the scores over time. However, dichotomizing the composite ACR assessment discards much information. Here, we propose a new approach for modeling together the three thresholds: a continuous-time Markov exposure-response model was developed, based on data from five placebo-controlled certolizumab pegol clinical trials. This approach allows adequate prediction of individual ACR20/50/70 time-response, even for non-periodic observations. An exposure-response was established over a large range of licensed and unlicensed doses including phase II dose-ranging data. Simulations from the model (50-400 mg every other week) illustrated the range and sustainability of response (ACR20: 56-68%, ACR50: 27-42%, ACR70: 11-22% at week 24) with maximum clinical effect achieved at the recommended maintenance dose of 200 mg every other week.

Identifiers

PMID25353186
PMCPMC4474165

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Registered trials

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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.