Evidence map›Paper›PMID 34691933›Full record

ArticleNational science review2019

Detection for disease tipping points by landscape dynamic network biomarkers.

Xiaoping Liu, Xiao Chang, Siyang Leng, Hui Tang, Kazuyuki Aihara, Luonan Chen

Open access · hybridAbstract read
In one paragraph

Article in National science review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

71 citing papers in PubMed, 126 citations in OpenAlex.

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  19. Identification of dynamic network biomarkerMolecular therapy. Oncology · 2025
    Article
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11 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

Xiaoping LiuKey Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.ORCID 0000-0002-3246-4227
Xiao ChangInstitute of Industrial Science, the University of Tokyo, Tokyo 153-8505, Japan.
Siyang LengInstitute of Industrial Science, the University of Tokyo, Tokyo 153-8505, Japan.
Hui TangKey Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Kazuyuki AiharaInstitute of Industrial Science, the University of Tokyo, Tokyo 153-8505, Japan.
Luonan ChenKey Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Chinese Academy of Sciences · CNThe University of Tokyo · JPAnhui University of Finance and Economics · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new model-free method has been developed and termed the landscape dynamic network biomarker (

Indexed as

dynamic network biomarkerssingle-sample networktipping points of complex disease

Identifiers

PMID34691933
PMCPMC8291500
OpenAlexW2907471989

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.