ArticleAntibody therapeutics2025
Matching placebo development for injectable biologics-a practical tutorial.
Article in Antibody therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Formulation of Recombinant Therapeutic Proteins: Technological Innovation, Regulations, and Evolution Towards Buffer-Free Formulations.Pharmaceutics · 2025Review
- Opportunities in formulation development of antibody-based therapeutics.Antibody therapeutics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In drug development, placebo-controlled trials are vital for assessing treatment efficacy. Developing a suitable placebo for injectable biologics presents unique challenges, particularly in matching the physical characteristics of the active drug without containing its active pharmaceutical ingredient. Methods: Our study developed a methodology for biologic placebo formulations, focusing on color and viscosity matching, in relevant chemical matrixes. A custom color deconvolution algorithm was used for precise color-matching, and sodium carboxymethyl cellulose (Na-CMC) was employed to adjust viscosity in different buffer systems. The interactions between buffers, color agents, and excipients were investigated to ensure consistency in physical properties. Stability testing was conducted under freeze/thaw and thermal stress conditions. Results: The color-matching algorithm successfully achieved visually indistinguishable results from the active drug, measured by an empirical parameter for color differences (ΔE values). Na-CMC was effective in matching the viscosity of biologic formulations, maintaining the desired physical appearance. Significant interactions between color agents and buffer systems influenced viscosity and osmolality. Stability tests confirmed that the placebo formulations retained their color, pH, and osmolality, with only minor viscosity changes after stress testing. Conclusions: Our study presents a systematic approach to biologic placebo development, providing a reliable framework for matching the color and viscosity of biologics. The methods and findings support the use of tailored excipients and color-matching algorithms to ensure clinical blinding in trials, enhancing the rigor of drug efficacy assessments and contributing to future placebo design in biologic drug development.
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Registered trials
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