ArticleMolecular pharmaceutics2022
Scanning Analysis of Sequential Semisolvent Vapor Impact To Study Naltrexone Release from Poly(lactide-co-glycolide) Microparticles.
Article in Molecular pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 6 citations in OpenAlex.
- PLGA-based long-acting injectable (LAI) formulations.Journal of controlled release : official journal of the Controlled Release Society · 2025Review
- In vitro-in vivo correlation (IVIVC) development for long-acting injectable drug products based on poly(lactide-co-glycolide).Journal of controlled release : official journal of the Controlled Release Society · 2025Review
- Microstructure Formation and Characterization of Long-Acting Injectable Microspheres: The Gateway to Fully Controlled Drug Release Pattern.International journal of nanomedicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Poly(lactide-co-glycolide) (PLGA)-based microparticle formulations have been a mainstay of long-acting injectable drug delivery applications for decades. Despite a long history of use, tools and techniques to analyze and understand these formulations are still under development. Recently, a new characterization method was introduced known as the surface analysis after sequential semisolvent impact using sequential semisolvent vapors. The vapor-based technique is named, for convenience, surface analysis of (semisolvent) vapor impact (SAVI). In the SAVI method, discretely controlled quantities of selected organic semisolvents in the vapor phase were applied to PLGA microparticles to track particle morphological changes by laser scanning confocal microscopy. Subsequently, the morphological images were analyzed to calculate mean peak height (
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What 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.