Evidence map›Paper›PMID 41268834›Full record

SynthesisCPT: pharmacometrics & systems pharmacology2026

Exposure-Efficacy Meta-Model of Nintedanib in Adult Patients With Chronic Fibrosing Interstitial Lung Diseases.

Sonja Hartmann, Julie Janssen, Jakob Ribbing, Susanne Stowasser, Julia Korell

Abstract readMeta-Analysis
In one paragraph

Synthesis in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Trial
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

5 authors.

Sonja HartmannTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut, USA.ORCID https://orcid.org/0000-0002-0693-0562
Julie JanssenPharmetheus AB, Uppsala, Sweden.
Jakob RibbingPharmetheus AB, Uppsala, Sweden.ORCID https://orcid.org/0009-0008-3572-9711
Susanne StowasserBoehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany.ORCID https://orcid.org/0009-0008-6013-0225
Julia KorellTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut, USA.ORCID https://orcid.org/0000-0002-3807-3323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tyrosine kinase inhibitor, nintedanib, reduces the rate of decline in forced vital capacity (FVC) in a comparable manner in patients with idiopathic pulmonary fibrosis (IPF), other forms of progressive pulmonary fibrosis (PPF), and systemic sclerosis-associated ILD (SSc-ILD). The recommended dose of nintedanib in all indications is 150 mg twice daily (BID). Data from Phase II and III trials in IPF, PPF, and SSc-ILD were incorporated into a meta-model to holistically investigate the relationship between nintedanib exposure and efficacy. Using data from 2642 patients with IPF, PPF, or SSc-ILD treated with nintedanib doses ranging from 50 to 150 mg BID, disease progression models with a maximum drug effect on the annual rate of change in absolute FVC (i.e., mL), FVC %predicted, and FVC Z-score were developed. The estimated plasma concentration producing 50% of the maximum drug effect (EC

Indexed as

Idiopathic Pulmonary FibrosisIndolesLung Diseases, InterstitialProtein Kinase InhibitorsAdultAgedClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDisease ProgressionDose-Response Relationship, DrugFemaleHumansMaleMiddle AgedModels, BiologicalScleroderma, SystemicIndolesnintedanibProtein Kinase Inhibitorsexposure‐efficacy analysisforced vital capacityinterstitial lung diseasesmeta‐modelnintedanib

Identifiers

PMID41268834
PMCPMC12823292

What OpenQuestion holds

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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.