Evidence map›Paper›PMID 31456060›Full record

ArticleJournal of neurology2019

Elevated serum creatine kinase in the early stage of sporadic amyotrophic lateral sclerosis.

Daisuke Ito, Atsushi Hashizume, Yasuhiro Hijikata, Shinichiro Yamada, Yohei Iguchi, Madoka Iida, Yoshiyuki Kishimoto, Hideyuki Moriyoshi, Akihiro Hirakawa, Masahisa Katsuno

Abstract read
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In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 9% 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, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  20. Untargeted metabolomics yields insight into ALS disease mechanisms.Journal of neurology, neurosurgery, and psychiatry · 2020
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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

10 authors at 2 institutions in 1 country.

Daisuke ItoDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Atsushi HashizumeDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan. hassy0707@med.nagoya-u.ac.jp.
Yasuhiro HijikataDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Shinichiro YamadaDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Yohei IguchiDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Madoka IidaDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Yoshiyuki KishimotoDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Hideyuki MoriyoshiDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan.
Akihiro HirakawaDepartment of Biostatistics and Bioinformatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masahisa KatsunoDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho Showa-ku, Nagoya, Aichi, 466-8550, Japan. ka2no@med.nagoya-u.ac.jp.ORCID http://orcid.org/0000-0001-9453-9311
Nagoya University · JPThe University of Tokyo · JP

Funding

Grant-in-Aid (KAKENHI) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan No. 17H04195Japan Agency for Medical Research and Development No. 17ek0109221h0001Japan Agency for Medical Research and Development No. 18ek0109221h0002
6 · The paper itself

Abstract

objectiveTo assess the changes of muscle-related biomarkers at the early stage of amyotrophic lateral sclerosis, and to confirm these findings in an experimental animal model.

methodsThirty-nine subjects with sporadic amyotrophic lateral sclerosis and 20 healthy controls were enrolled and longitudinally evaluated. We evaluated serum creatine kinase and creatinine levels and appendicular lean soft-tissue mass using dual X-ray absorptiometry. The levels of biomarkers at early ALS stages were estimated using linear mixed models with unstructured correlation and random intercepts. We also analyzed the longitudinal changes of serum creatine kinase and creatinine, together with the mRNA levels of acetylcholine receptor subunit γ (Chrng) and muscle-associated receptor tyrosine kinase, markers of denervation, in the gastrocnemius muscle of superoxide dismutase 1 (SOD1)

resultsThe estimated levels of creatine kinase were higher in subjects with amyotrophic lateral sclerosis at the early stage than in healthy controls, although the estimated appendicular lean soft-tissue mass and creatinine levels were equivalent between both groups, suggesting that the elevation of creatine kinase precedes both muscular atrophy and subjective motor symptoms in sporadic amyotrophic lateral sclerosis. In SOD1

interpretationCreatine kinase elevation precedes muscular atrophy and reflects muscle denervation at the early stage.

Indexed as

Prodromal SymptomsAgedAmyotrophic Lateral SclerosisAnimalsBiomarkersCreatine KinaseDisease Models, AnimalFemaleGene Expression RegulationHumansMaleMice, TransgenicMiddle AgedReceptors, NicotinicRetrospective StudiesSuperoxide Dismutase-1acetylcholine receptor gamma, mouseBiomarkersCreatine KinaseReceptors, NicotinicSod1 protein, mouseSuperoxide Dismutase-1Amyotrophic lateral sclerosisBiomarkerCreatine kinase

Identifiers

PMID31456060
OpenAlexW2970323850

What OpenQuestion holds

Textmetadata
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.