Evidence map›Paper›PMID 29104457›Full record

ArticleInternational journal of medical sciences2017

The Extracts of

Yu-Tzu Tsao, Chun-Yu Kuo, Yu-Diao Kuan, Han-Chen Lin, Li-Hsien Wu, Che-Hsin Lee

Abstract read
In one paragraph

Article in International journal of medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Review of Phytochemistry, Pharmacology and Pharmacokinetics onInternational journal of molecular sciences · 2019
    Pooled it
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  13. The extracts ofInternational journal of medical sciences · 2020
    Article
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  16. The extracts ofInternational journal of medical sciences · 2019
    Article
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  20. International journal of medical sciences · 2018
    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

6 authors.

Yu-Tzu TsaoDivision of Nephrology, Department of Medicine, Taoyuan General Hospital, Taoyuan 330, Taiwan.
Chun-Yu KuoGraduate Institute of Basic Medical Science, School of Medicine, China Medical University, Taichung 404, Taiwan.
Yu-Diao KuanDepartment of Biological Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
Han-Chen LinDepartment of Anatomy, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Li-Hsien WuDepartment of Public Health, China Medical University, Taichung 404, Taiwan.
Che-Hsin LeeDepartment of Biological Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanin is a normal production protecting skin from environment-causing damage. Plants produce some agents in response to their environment. These agents could be applied in cosmetic production. Some Chinese herbals have immunomodulatory activities and modulate the symptoms of several diseases. Melanogenesis represents a complex group of conditions that are thought to be mediated through a complex network of regulatory processes. Previously, some studies found that the extracts of

Indexed as

AnimalsAstragalus propinquusDrugs, Chinese HerbalGene Expression Regulation, NeoplasticHumansMAP Kinase Signaling SystemMelaninsMelanoma, ExperimentalMiceMicrophthalmia-Associated Transcription FactorMonophenol MonooxygenasePhosphorylationDrugs, Chinese HerbalMelaninsMicrophthalmia-Associated Transcription FactorMitf protein, mouseMonophenol MonooxygenaseAstragalus membranaceusMelaninmelanogenesis.PG2

Identifiers

PMID29104457
PMCPMC5666534

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.