Evidence map›Paper›PMID 39206439›Full record

ReviewFrontiers in chemistry2024

One of the major challenges of masking the bitter taste in medications: an overview of quantitative methods for bitterness.

Panpan Wang, Haiyang Li, Yanli Wang, Fengyu Dong, Han Li, Xinjing Gui, Yanna Ren, Xiaojie Gao, Xuelin Li, Ruixin Liu

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2024. 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. Review
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

10 authors.

Panpan Wang *Department of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Haiyang Li *School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China.
Yanli WangDepartment of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Fengyu DongSchool of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China.
Han LiSchool of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China.
Xinjing GuiDepartment of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Yanna RenSchool of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China.
Xiaojie GaoZhengzhou Traditional Chinese Medicine Hospital, Zhengzhou, China.
Xuelin LiDepartment of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Ruixin LiuDepartment of Pharmacy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of the present study was to carry out a systematic research on bitterness quantification to provide a reference for scholars and pharmaceutical developers to carry out drug taste masking research. Significance: The bitterness of medications poses a significant concern for clinicians and patients. Scientifically measuring the intensity of drug bitterness is pivotal for enhancing drug palatability and broadening their clinical utility. Methods: The current study was carried out by conducting a systematic literature review that identified relevant papers from indexed databases. Numerous studies and research are cited and quoted in this article to summarize the features, strengths, and applicability of quantitative bitterness assessment methods. Results: In our research, we systematically outlined the classification and key advancements in quantitative research methods for assessing drug bitterness, including Conclusion: The quantitative methods of bitterness were summarized, which laid an important foundation for the construction of a comprehensive bitterness quantification standard system and the formulation of accurate, efficient and rich taste masking strategies.

Indexed as

active pharmaceuticals ingredientsbitternessquantitative methodtraditional Chinese medicinetraditional human taste panel method

Identifiers

PMID39206439
PMCPMC11349634

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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.