SynthesisCPT: pharmacometrics & systems pharmacology2026
Model-Based Meta-Analysis of the Relationship Between Pioglitazone and Histological Outcomes in Metabolic Dysfunction-Associated Steatohepatitis Patients.
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 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Model-Based Meta-Analysis of the Relationship Between Pioglitazone and Histological Outcomes in Metabolic Dysfunction-Associated Steatohepatitis Patients.CPT: pharmacometrics & systems pharmacology · 2026Pooled it
- Review
- Current State-of-the-Art and Future Advancements of Model-Based Meta-Analysis.CPT: pharmacometrics & systems pharmacology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Given the high prevalence of the population who have metabolic dysfunction-associated steatohepatitis (MASH), interest is growing in MASH-targeted treatments. However, currently, there has been only one regulatory approved drug for MASH (Rezdiffra). Pioglitazone, a commonly used type 2 diabetes mellitus drug, is currently used off-label for the treatment of MASH. Our study aimed to perform a model-based meta-analysis to quantitatively examine the efficacy of pioglitazone in improving histological parameters and liver enzymes in patients with MASH. A comprehensive search was performed in Pubmed and clinicaltrials.gov. We collected histological outcomes (including steatosis, inflammation, ballooning, and fibrosis) and liver enzyme data. Due to sparse data, the gathered histological outcomes were used to generate virtual data. Next, model development for the virtual histological dataset was performed using a logistic model. In addition, Weibull and exponential models were tested to find the best fit for liver enzyme data. Model evaluations were carried out by visual predictive check, bootstrap method, and stacked bar plot. Eight studies with 540 patients were included. A logit model was used to analyze four outcomes. The results showed that using pioglitazone improved all four histological parameters. These effects are dose- and time-dependent under the Emax-time model for steatosis and ballooning, and under the linear relationship for inflammation and fibrosis. For liver enzymes, the Weibull model fitted well for both ALT and AST data. In conclusion, the developed models of pioglitazone may serve as a benchmark to assess the effectiveness of novel MASH-targeted treatments.
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Registered trials
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.