Evidence map›Paper›PMID 32831883›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Suppression of Dynamical Network Biomarker Signals at the Predisease State (

Keiichi Koizumi, Makito Oku, Shusaku Hayashi, Akiko Inujima, Naotoshi Shibahara, Luonan Chen, Yoshiko Igarashi, Kazuyuki Tobe, Shigeru Saito, Makoto Kadowaki and 1 more

Erratum issuedOpen access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Corrigendum to "Suppression of Dynamical Network Biomarker Signals at the Predisease State (Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Keiichi KoizumiDivision of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0002-0349-4144
Makito OkuDivision of Chemo-Bioinformatics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Shusaku HayashiDivision of Gastrointestinal Pathophysiology, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Akiko InujimaDivision of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Naotoshi ShibaharaDivision of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Luonan ChenCAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Yoshiko IgarashiFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan.
Kazuyuki TobeFirst Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan.
Shigeru SaitoUniversity of Toyama, Toyama, Japan.
Makoto KadowakiDivision of Gastrointestinal Pathophysiology, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Kazuyuki AiharaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
University of Toyama · JPChinese Academy of Sciences · CNThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the increasing incidence of metabolic syndrome, the development of new therapeutic strategies is urgently required. One promising approach is to focus on the predisease state (so-called

Identifiers

PMID32831883
PMCPMC7424500
OpenAlexW3046972381

What OpenQuestion holds

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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.