Evidence map›Paper›PMID 33076276›Full record

ArticlePharmaceuticals (Basel, Switzerland)2020

Development of a Multivariate Predictive Dissolution Model for Tablets Coated with Cellulose Ester Blends.

Eman M Mohamed, Tahir Khuroo, Hamideh Afrooz, Sathish Dharani, Khaldia Sediri, Phillip Cook, Rajendran Arunagiri, Mansoor A Khan, Ziyaur Rahman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2020. 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
  2. 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

9 authors.

Eman M MohamedIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Tahir KhurooIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Hamideh AfroozIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Sathish DharaniIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Khaldia SediriIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Phillip CookEastman Chemical Company, Kingsport, TN 37662, USA.
Rajendran ArunagiriEastman Chemical Company, Kingsport, TN 37662, USA.
Mansoor A KhanIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.
Ziyaur RahmanIrma Lerma Rangel College of Pharmacy, Texas A&M Health Science Center, Texas A&M University, College Station, TX 77843, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The focus of the present investigation was to develop a predictive dissolution model for tablets coated with blends of cellulose acetate butyrate (CAB) 171-15 and cellulose acetate phthalate (C-A-P) using the design of experiment and chemometric approaches. Diclofenac sodium was used as a model drug. Coating weight gain (X

Indexed as

cellaburatecellulose acetate butyratediclofenacdissolutionhyperspectroscopymultivariate

Identifiers

PMID33076276
PMCPMC7602398

What OpenQuestion holds

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Registered trials

None linked

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.