Evidence map›Paper›PMID 36380249›Full record

ArticleAAPS PharmSciTech2022

Colon-Targeted Layer-by-Layer Self-assembled Film: Pharmacokinetic Analysis of BCS Class I and Class III Model Drugs.

Leela Sai Lokesh Janardhanam, Ashwini Suresh Deokar, Srivarsha Reddy Bollareddy, Venkata Vamsi Krishna Venuganti

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Article in AAPS PharmSciTech, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Leela Sai Lokesh JanardhanamDepartment of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, Telangana State, India.
Ashwini Suresh DeokarDepartment of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, Telangana State, India.
Srivarsha Reddy BollareddyDepartment of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, Telangana State, India.
Venkata Vamsi Krishna VenugantiDepartment of Pharmacy, Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, Hyderabad, 500078, Telangana State, India. vamsi@hyderabad.bits-pilani.ac.in.ORCID http://orcid.org/0000-0001-9686-9525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to investigate the pharmacokinetic parameters of 5-fluorouracil (5FU) and moxifloxacin HCl (MF) after oral administration using layer-by-layer assembled film in enteric-coated capsule. The layer-by-layer (LbL) film was prepared by sequential layering of chitosan and sodium alginate polyelectrolytes containing either 5FU or MF. The films were in vitro evaluated for physical characteristics, drug loading and release behaviour. In vivo pharmacokinetic evaluation was performed in the rat model for three different drug concentrations after oral administration and compared with intravenous administration. The results showed that the thickness of 10-bilayer film was 147 ± 11.66 µm and 212.3 ± 7.19 µm after 5FU and MF loading, respectively. The LbL film with backing layer provided directional release of 5FU and MF, where 63.81 ± 4.52% and 101.38 ± 5.08%, respectively, was released in 24 h. 5FU showed non-linear pharmacokinetics compared with linear pharmacokinetics shown by MF after oral administration. There is a dose-dependent increase in C

Indexed as

ColonFluorouracilAdministration, OralAnimalsPharmaceutical PreparationsPolyelectrolytesRatsFluorouracilPharmaceutical PreparationsPolyelectrolytes5-fluorouracilcolon deliverylayer-by-layer assembled filmmoxifloxacin HClpharmacokinetics

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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.