ArticleJournal of advanced pharmaceutical technology & research
Article in Journal of advanced pharmaceutical technology & research. 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Some antituberculosis drugs were reported to have adverse effects. The study investigates the use of quercetin pulmospheres as an alternative to traditional antituberculosis drugs. Formulated with alginate and kappa carrageenan as F1, F2, and F3 (1:1, 1:2, and 1:3), the pulmospheres were observed for the release and deposition in rat lungs. Results show a sustained release of 50.47% ±0.43%-58.37% ±0.57% in 10 h above minimum inhibitory concentration (MIC) against
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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.