Evidence map›Paper›PMID 33869658›Full record

ArticleMolecular therapy. Methods & clinical development2021

Adipose-derived stem cells protect motor neurons and reduce glial activation in both

Yuri Ciervo, Noemi Gatto, Chloe Allen, Andrew Grierson, Laura Ferraiuolo, Richard J Mead, Pamela J Shaw

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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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.

Yuri CiervoSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Noemi GattoSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Chloe AllenSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Andrew GriersonSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Laura FerraiuoloSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Richard J MeadSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
Pamela J ShawSheffield Institute for Translational Neuroscience (SITraN), Department of Neuroscience, Faculty of Medicine, Dentistry and Health, The University of Sheffield, 385 Glossop Rd., Sheffield S10 2HQ, UK.
University of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative condition for which new therapeutic options are urgently needed. We injected GFP

Indexed as

adipose-derived stem cellsamyotrophic lateral sclerosiscell therapyneurodegeneration

Identifiers

PMID33869658
PMCPMC8044387
OpenAlexW3142030308

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.