Evidence map›Paper›PMID 37759796›Full record

ArticleBiomolecules2023

Voluntary Running Improves Behavioral and Structural Abnormalities in a Mouse Model of CDKL5 Deficiency Disorder.

Nicola Mottolese, Beatrice Uguagliati, Marianna Tassinari, Camilla Bruna Cerchier, Manuela Loi, Giulia Candini, Roberto Rimondini, Giorgio Medici, Stefania Trazzi, Elisabetta Ciani

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

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors at 1 institution in 1 country.

Nicola MottoleseDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-3066-0945
Beatrice UguagliatiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-7944-5368
Marianna TassinariDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-2078-9638
Camilla Bruna CerchierDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.
Manuela LoiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-6179-7610
Giulia CandiniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.
Roberto RimondiniDepartment of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-4099-513X
Giorgio MediciDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.
Stefania TrazziDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-2623-2769
Elisabetta CianiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-3130-5168
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclin-dependent kinase-like 5 (

Indexed as

Motor ActivitySpasms, InfantileAnimalsBrain-Derived Neurotrophic FactorEpileptic SyndromesHumansMiceProtein Serine-Threonine KinasesBrain-Derived Neurotrophic FactorCDKL5 protein, mouseProtein Serine-Threonine Kinasesbrain developmentCdkl5 KO micedendritic pathologyneuroinflammationneuronal survivalvoluntary exercise

Identifiers

PMID37759796
PMCPMC10527551
OpenAlexW4386814277

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.