Evidence map›Paper›PMID 37560487›Full record

ArticleInternational journal of pharmaceutics: X2023

A tabletability change classification system in supporting the tablet formulation design via the roll compaction and dry granulation process.

Junhui Su, Kunfeng Zhang, Feiyu Qi, Junjie Cao, Yuhua Miao, Zhiqiang Zhang, Yanjiang Qiao, Bing Xu

Abstract read
In one paragraph

Article in International journal of pharmaceutics: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent applications of near infrared to pharmaceutical process monitoring and quality control.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  4. Review
  5. 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.

Junhui SuDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Kunfeng ZhangDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Feiyu QiDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Junjie CaoDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Yuhua MiaoThe International Department, No. 8 Middle School of Beijing, Beijing 100045, PR China.
Zhiqiang ZhangBeijing Tcmages Pharmceutical Co. LTD, Beijing 101301, PR China.
Yanjiang QiaoDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Bing XuDepartment of Chinese Medicine Informatics, Beijing University of Chinese Medicine, Beijing 100029, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, the material library approach was used to uncover the pattern of tabletability change and related risk for tablet formulation design under the roll compaction and dry granulation (RCDG) process. 31 materials were fully characterized using 18 physical parameters and 9 compression behavior classification system (CBCS) parameters. Then, each material was dry granulated and sieved into small granules (125-250 μm) and large granules (630-850 μm), respectively. The compression behavior of granules was characterized by the CBCS descriptors, and were compared with that of ungranulated powders. The relative change of tabletability (

Indexed as

Formulation designMaterial libraryRisk decision treeRoll compaction and dry granulation (RCDG)Tabletability change classification system (TCCS)

Identifiers

PMID37560487
PMCPMC10407897

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.