Evidence map›Paper›PMID 38585668›Full record

ArticleBrain communications2024

Kimberly L Chan, Aparna Panatpur, Souad Messahel, Hamza Dahshi, Talon Johnson, Anke Henning, Jimin Ren, Berge A Minassian

Abstract read
In one paragraph

Article in Brain communications, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  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

8 authors.

Kimberly L ChanAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID https://orcid.org/0000-0002-3091-2073
Aparna PanatpurDepartment of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, TX 77030, USA.
Souad MessahelDivision of Neurology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Hamza DahshiDivision of Neurology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Talon JohnsonAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID https://orcid.org/0000-0002-4994-215X
Anke HenningAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Jimin RenAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID https://orcid.org/0000-0001-7946-8447
Berge A MinassianDivision of Neurology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

Suppressing glycogen storage with small molecule inhibitors as a therapeutic approach to Lafora DiseaseP01NS097197 · NINDS · UNIVERSITY OF KENTUCKY · PI GAO, TIANYAN · 2016 to 2021
$9.0M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
NIDDK NIH HHS P30 DK127984NINDS NIH HHS P01 NS097197
6 · The paper itself

Abstract

Lafora disease is a fatal teenage-onset progressive myoclonus epilepsy and neurodegenerative disease associated with polyglucosan bodies. Polyglucosans are long-branched and as a result precipitation- and aggregation-prone glycogen. In mouse models, downregulation of glycogen synthase, the enzyme that elongates glycogen branches, prevents polyglucosan formation and rescues Lafora disease. Mouse work, however, has not yet revealed the mechanisms of polyglucosan generation, and few

Indexed as

1H MRS31P MRSEPM2AEPM2BLafora disease

Identifiers

PMID38585668
PMCPMC10998360

What OpenQuestion holds

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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.