Evidence map›Paper›PMID 34721695›Full record

ArticleExperimental and therapeutic medicine2021

MicroRNA-424 alleviates neurocyte injury by targeting PDCD4 in a cellular model of cerebral ischemic stroke.

Hou-Wei Ren, Bin Gu, Yue-Zhan Zhang, Ting Guo, Qian Wang, Yue-Qin Shen, Jun Wang

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

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Time-Anchored miR-424-5p Predicts Neurological Deterioration and 90-Day Disability After Acute Ischemic Stroke.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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 3 institutions in 1 country.

Hou-Wei RenDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Bin GuDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Yue-Zhan ZhangDepartment of Emergency, The Fourth Affiliated Hospital of Zhejiang University, School of Medicine, Yiwu, Zhejiang 322000, P.R. China.
Ting GuoDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Qian WangDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Yue-Qin ShenDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Jun WangDepartment of Emergency, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu 225300, P.R. China.
Taizhou People's Hospital · CNNantong University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral ischemic stroke is the primary cause of stroke-associated mortality and disability, and current therapeutic options are limited and ineffective. The present study aimed to investigate the potential of apoptotic therapy and the role of microRNA (miR)-424 in cerebral ischemic stroke. PC12 cells, a cloned cell line from rat adrenal pheochromocytoma, were treated with CoCl

Indexed as

apoptosiscerebral ischemic strokemicroRNA-424programmed cell death protein 4

Identifiers

PMID34721695
PMCPMC8549098
OpenAlexW3206587095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.