Evidence map›Paper›PMID 36415630›Full record

ArticleAdvanced pharmaceutical bulletin2022

Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich

Abhiruj Navabhatra, Adelheid Brantner, Bancha Yingngam

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced pharmaceutical bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Journal of nutrition and metabolism · 2026
    Article
  3. Article
  4. 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

3 authors at 3 institutions in 2 countries.

Abhiruj NavabhatraDepartment of Pharmacology, College of Pharmacy, Rangsit University, Pathum Thani, 12000, Thailand.ORCID https://orcid.org/0000-0003-4129-1302
Adelheid BrantnerDepartment of Pharmacognosy, Institute of Pharmaceutical Sciences, University of Graz, Universitaetsplatz 4/1, A-8010, Graz, Austria.ORCID https://orcid.org/0000-0001-7812-9291
Bancha YingngamDepartment of Pharmaceutical Chemistry and Technology, Faculty of Pharmaceutical Sciences, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.ORCID https://orcid.org/0000-0001-7215-9123
Rangsit University · THUbon Ratchathani University · THUniversity of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial neural networkChemical analysisComputer modelingNanostructured lipid carriersSafety testing

Identifiers

PMID36415630
PMCPMC9675925
OpenAlexW3211247419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.