Evidence map›Paper›PMID 33312126›Full record

ArticleFrontiers in pharmacology2020

Ponsiree Jithavech, Pahweenvaj Ratnatilaka Na Bhuket, Wiwat Supasena, Guanyinsheng Qiu, Shengqing Ye, Jie Wu, Tin Wui Wong, Pornchai Rojsitthisak

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2020. 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

8 authors.

Ponsiree JithavechPharmaceutical Chemistry and Natural Products Program, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Pahweenvaj Ratnatilaka Na BhuketNatural Products for Ageing and Chronic Diseases Research Unit, Chulalongkorn University, Bangkok, Thailand.
Wiwat SupasenaNatural Products for Ageing and Chronic Diseases Research Unit, Chulalongkorn University, Bangkok, Thailand.
Guanyinsheng QiuCollege of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, China.
Shengqing YeSchool of Pharmaceutical and Materials Engineering & Institute for Advanced Studies, Taizhou University, Taizhou, China.
Jie WuSchool of Pharmaceutical and Materials Engineering & Institute for Advanced Studies, Taizhou University, Taizhou, China.
Tin Wui WongNon-Destructive Biomedical and Pharmaceutical Research Centre, iPROMISE, Universiti Teknologi MARA, Puncak Alam, Malaysia.
Pornchai RojsitthisakNatural Products for Ageing and Chronic Diseases Research Unit, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver S9 (LS9) is a nearly complete collection of all hepatic drug-metabolizing enzymes. It is a low-cost model for predicting drug metabolic activity. This study aimed to identify the suitability of using LS9 of different animal sources in drug metabolism profiling with respect to the possible translation of the

Indexed as

curcumincurcumin diethyl disuccinateIn vitro metabolismliver S9monoethylsuccinyl curcumin

Identifiers

PMID33312126
PMCPMC7703437

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.