Evidence map›Paper›PMID 33328881›Full record

ReviewFrontiers in molecular neuroscience2020

Impairment Mechanisms and Intervention Approaches for Aged Human Neuromuscular Junctions.

Yomna Badawi, Hiroshi Nishimune

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review of the Pathology of Muscle in Amyotrophic Lateral Sclerosis.International journal of molecular sciences · 2026
    Review
  6. LSMEM2, Localized at the Neuromuscular Junction, Modulates Mitochondrial Integration in Skeletal Muscles.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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  8. Review
  9. Article
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  11. Article
  12. Review
  13. Article
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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

2 authors at 2 institutions in 2 countries.

Yomna BadawiDepartment of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, KS, United States.
Hiroshi NishimuneDepartment of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, KS, United States.
Tokyo Metropolitan Institute of Gerontology · JPUniversity of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neuromuscular junction (NMJ) is a chemical synapse formed between a presynaptic motor neuron and a postsynaptic muscle cell. NMJs in most vertebrate species share many essential features; however, some differences distinguish human NMJs from others. This review will describe the pre- and postsynaptic structures of human NMJs and compare them to NMJs of laboratory animals. We will focus on age-dependent declines in function and changes in the structure of human NMJs. Furthermore, we will describe insights into the aging process revealed from mouse models of accelerated aging. In addition, we will compare aging phenotypes to other human pathologies that cause impairments of pre- and postsynaptic structures at NMJs. Finally, we will discuss potential intervention approaches for attenuating age-related NMJ dysfunction and sarcopenia in humans.

Indexed as

active zone (AZ)agingcaloric restrictionexerciselamininneuromuscular diseaseprogeriasynapse

Identifiers

PMID33328881
PMCPMC7717980
OpenAlexW3104640042

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.