Evidence map›Paper›PMID 35017887›Full record

ArticleJournal of pharmacy & bioallied sciences

Soft-Chewable Paracetamol Tablets by Melt Granulation Method: Formulation and Characterization.

Awis Sukarni Mohmad Sabere, Nur Anis Najlaa Mohd Suhaimi, Qamar Uddin Ahmed, Mohd Muzamir Mahat, Nazreen Che Roslan, Juzaili Azizi

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Article in Journal of pharmacy & bioallied sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Awis Sukarni Mohmad SabereDepartment of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, Jalan Gombak, Selangor, Malaysia.
Nur Anis Najlaa Mohd SuhaimiDepartment of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, Jalan Gombak, Selangor, Malaysia.
Qamar Uddin AhmedDepartment of Pharmaceutical Chemistry, Kulliyyah of Pharmacy, International Islamic University Malaysia, Jalan Gombak, Selangor, Malaysia.
Mohd Muzamir MahatSchool of Physics and Materials Studies, Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Nazreen Che RoslanSchool of Physics and Materials Studies, Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Juzaili AziziCentre for Drug Research, Universiti Sains Malaysia, Gelugor, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral drug delivery is the most preferred route for drug administration in the world, with tablets being one of the most common dosage forms. However, some people, particularly children and the elderly, have difficulty swallowing the tablets. Chewable tablets are the dosage form that can address the issue while also providing a valuable masking effect on drug taste, allowing patients to swallow the drugs more easily. MATERIALS AND

methodsIn this study, the chewable tablets were manufactured using the melt granulation method, which resulted in tablets with a chewy texture. The tablets contained paracetamol as well as Arabic gum, starch, agar, and mannitol.

resultsThe drug release profiles for the fragmented form showed that 50% of the drug was released within 4 min and 100% was released within 30 min of the dissolution process. The intact form released nearly 90% of the drug within 2 h.

conclusionFormulation 2 was determined as the best formulation. This tablets' formulation had passed all characterization tests and displayed a moderate hardness and chewy texture.

Indexed as

Chewable tabletsmelt granulationparacetamol

Identifiers

PMID35017887
PMCPMC8698080

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LicenceCC BY-NC-SA
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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.