Evidence map›Paper›PMID 31360720›Full record

ArticleBioMed research international2019

Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.

Shilun Yang, Yanjia Shen, Wendan Lu, Yinglin Yang, Haigang Wang, Li Li, Chunfu Wu, Guanhua Du

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

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. A review of recent artificial intelligence for traditional medicine.Journal of traditional and complementary medicine · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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 at 2 institutions in 1 country.

Shilun YangSchool of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, No. 103, Wen hua Road, Shenyang 110016, China.ORCID https://orcid.org/0000-0003-2734-3698
Yanjia ShenBeijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2, Nan wei Road, Beijing 100050, China.
Wendan LuBeijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2, Nan wei Road, Beijing 100050, China.
Yinglin YangBeijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2, Nan wei Road, Beijing 100050, China.
Haigang WangBeijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2, Nan wei Road, Beijing 100050, China.
Li LiBeijing Key Laboratory of Drug Targets Identification and Drug Screening, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2, Nan wei Road, Beijing 100050, China.
Chunfu WuSchool of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, No. 103, Wen hua Road, Shenyang 110016, China.ORCID https://orcid.org/0000-0003-0316-6076
Guanhua DuSchool of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, No. 103, Wen hua Road, Shenyang 110016, China.ORCID https://orcid.org/0000-0002-6896-0847
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xiaoxuming decoction (XXMD), a classic traditional Chinese medicine (TCM) prescription, has been used as a therapeutic in the treatment of stroke in clinical practice for over 1200 years. However, the pharmacological mechanisms of XXMD have not yet been elucidated. The purpose of this study was to develop neuroprotective models for identifying neuroprotective compounds in XXMD against hypoxia-induced and H

Indexed as

Machine LearningAlgorithmsBayes TheoremBrainDrugs, Chinese HerbalHumansHydrogen PeroxideMedicine, Chinese TraditionalNeuroprotectionStrokeDrugs, Chinese HerbalHydrogen Peroxide

Identifiers

PMID31360720
PMCPMC6652039
OpenAlexW2956769887

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.