ArticlePharmaceutical research2026
A General Strategy to Compare Stability Slopes of Biologics Using Short-Term data from Post-Change Batches Versus Long-Term Data from Pre-Change Batches.
Article in Pharmaceutical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePharmaceutical products are under constant development and improvements are continuously made. Implementing a change can have impact on the stability of the product. Comparing stability slopes of post-change batches monitored over short duration with those of pre-change batches monitored during long-term studies is not entirely straightforward as the longer the time frame the lower the uncertainty on the estimated slope, and therefore the pre-change and post-change slopes cannot be compared directly. The purpose is to develop a procedure making maximal use of all the information in the pre-change batches.
methodsThe knowledge in the complete pre-change data set in terms of slopes and variability is captured in a posterior distribution using a Bayesian analysis. Using this pre-change knowledge together with the time points used for a post-change batch, it is then studied if the observed slope of the post-change batch is in line with the predictive distribution for the post-change slope as based on the pre-change data.
resultsThe proposed methodology is presented and applied to real data obtained in a stability comparability study at Merck & Co., Inc., Rahway, NJ, USA.
conclusionThe method is suitable for assessing comparability of stability slopes.
Indexed as
Identifiers
41408020What OpenQuestion holds
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 OpenQuestion graph.