Evidence map›Paper›PMID 34751247›Full record

ReviewBioMed research international2021

Targeting PINK1 Using Natural Products for the Treatment of Human Diseases.

Yan-Qin Li, Fan Zhang, Li-Ping Yu, Jian-Kang Mu, Ya-Qin Yang, Jie Yu, Xing-Xin Yang

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Gut microbiota in insulin resistance: a bibliometric analysis.Journal of diabetes and metabolic disorders · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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

7 authors at 1 institution in 1 country.

Yan-Qin Li *College of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0002-9155-2980
Fan Zhang *College of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.
Li-Ping YuCollege of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0003-3914-0003
Jian-Kang MuCollege of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0001-9189-2515
Ya-Qin YangCollege of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0003-2551-2152
Jie YuCollege of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0001-8100-8896
Xing-Xin YangCollege of Pharmaceutical Science, Yunnan University of Chinese Medicine, 1076 Yuhua Road, Kunming 650500, China.ORCID https://orcid.org/0000-0001-6594-772X
Yunnan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AnimalsBiological ProductsDiseaseDrug TherapyHumansMitochondriaMitochondrial DiseasesMitophagyMutationProtein KinasesPTEN-Induced Putative KinaseUbiquitin-Protein LigasesBiological ProductsProtein KinasesPTEN-Induced Putative KinaseUbiquitin-Protein Ligases

Identifiers

PMID34751247
PMCPMC8572127
OpenAlexW3209010178

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.