Evidence map›Paper›PMID 35268960›Full record

ArticleMaterials (Basel, Switzerland)2022

A Greener Stability-Indicating High-Performance Thin-Layer Chromatography Approach for the Estimation of Topiramate.

Mohammed H Alqarni, Faiyaz Shakeel, Wael A Mahdi, Ahmed I Foudah, Tariq M Aljarba, Sultan Alshehri, Mohammed M Ghoneim, Prawez Alam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mohammed H AlqarniDepartment of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Faiyaz ShakeelDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-6109-0885
Wael A MahdiDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-7083-1753
Ahmed I FoudahDepartment of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0002-6728-8614
Tariq M AljarbaDepartment of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Sultan AlshehriDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-0922-9819
Mohammed M GhoneimDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Ad Diriyah 13713, Saudi Arabia.ORCID 0000-0002-9179-4373
Prawez AlamDepartment of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0002-7632-3426

Funding

King Saud University RSP2022R516
6 · The paper itself

Abstract

Despite various reported analytical methods for topiramate (TPM) analysis, greener analytical approaches are scarce in literature. As a consequence, the objective of the current research is to design a normal-phase stability-indicating high-performance thin-layer chromatography (SI-HPTLC) methodology for TPM analysis in marketed tablet dosage forms that is rapid, sensitive, and greener. TPM was derivatized densitometrically and analyzed at 423 nm in visible mode with anisaldehyde-sulfuric acid as the derivatizing agent. The greener SI-HPTLC technique was linear in the 30-1200 ng band

Indexed as

AGREE scoregreener HPTLCtopiramatevalidation

Identifiers

PMID35268960
PMCPMC8911037

What OpenQuestion holds

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Registered trials

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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.