Evidence map›Paper›PMID 34764864›Full record

ArticleFrontiers in aging neuroscience2021

Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based on

Ping Zhou, Rong Zeng, Lun Yu, Yabo Feng, Chuxin Chen, Fang Li, Yang Liu, Yanhui Huang, Zhongxiong Huang, Alzheimer's Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Radiology advances · 2024
    Article
  10. Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Radiomics Analysis of Brain [Diagnostics (Basel, Switzerland) · 2022
    Article
  19. Article
  20. Review
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 1 institution in 1 country.

Ping ZhouDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Rong ZengDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Lun YuDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Yabo FengDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Chuxin ChenDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Fang LiDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Yang LiuDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Yanhui HuangDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Zhongxiong HuangDepartment of PET-CT Center, Chenzhou No.1 People's Hospital, Chenzhou, China.
Alzheimer's Disease Neuroimaging Initiative
Chenzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

18F-fluorodeoxyglucose positron emission tomographyAlzheimer's diseaseclassificationdeep learning radiomicsmild cognitive impairment

Identifiers

PMID34764864
PMCPMC8576572
OpenAlexW3208620984

What Socratic 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 Socratic graph.