Evidence map›Paper›PMID 35814200›Full record

ArticleFrontiers in pharmacology2022

Heng Cai, Lin-Yan Huang, Rui Hong, Jin-Xiu Song, Xin-Jian Guo, Wei Zhou, Zhao-Li Hu, Wan Wang, Yan-Ling Wang, Jian-Gang Shen and 1 more

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

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 2 countries.

Heng CaiPharmacology College, Xuzhou Medical University, Xuzhou, China.
Lin-Yan HuangMedical and Technology School, Xuzhou Medical University, And Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Rui HongPharmacology College, Xuzhou Medical University, Xuzhou, China.
Jin-Xiu SongPharmacology College, Xuzhou Medical University, Xuzhou, China.
Xin-Jian GuoMedical and Technology School, Xuzhou Medical University, And Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Wei ZhouResearch Center for Biochemistry and Molecular Biology and Jiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, China.
Zhao-Li HuResearch Center for Biochemistry and Molecular Biology and Jiangsu Key Laboratory of Brain Disease Bioinformation, Xuzhou Medical University, Xuzhou, China.
Wan WangMedical and Technology School, Xuzhou Medical University, And Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Yan-Ling WangMedical and Technology School, Xuzhou Medical University, And Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Jian-Gang ShenMedical and Technology School, Xuzhou Medical University, And Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China.
Su-Hua QiPharmacology College, Xuzhou Medical University, Xuzhou, China.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant exosome-like nanoparticles (ELNs) have shown great potential in treating tumor and inflammatory diseases, but the neuroprotective effect of plant ELNs remains unknown. In the present study, we isolated and characterized novel ELNs from

Indexed as

blood–brain barrierexosome-like nanoparticlesischemic/reperfusion injurymatrix metalloproteinase 9Momordica charantia

Identifiers

PMID35814200
PMCPMC9263912
OpenAlexW4283389492

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.