Evidence map›Paper›PMID 35204353›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based

Lijuan Feng, Luodan Qian, Shen Yang, Qinghua Ren, Shuxin Zhang, Hong Qin, Wei Wang, Chao Wang, Hui Zhang, Jigang Yang

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Applications of Artificial Intelligence for Pediatric Cancer Imaging.AJR. American journal of roentgenology · 2024
    Review
  3. Article
  4. Article
  5. Clinical application ofJapanese journal of radiology · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Insights into imaging · 2022
    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

10 authors at 3 institutions in 1 country.

Lijuan FengDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID 0000-0002-2173-8210
Luodan QianDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID 0000-0001-9526-5172
Shen YangDepartment of Surgical Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.ORCID 0000-0002-2029-3977
Qinghua RenDepartment of Surgical Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
Shuxin ZhangDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Hong QinDepartment of Surgical Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
Wei WangDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Chao WangSinounion Medical Technology (Beijing) Co., Ltd., Beijing 100192, China.
Hui ZhangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Jigang YangDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Capital Medical University · CNSinovac Biotech · CNTsinghua University · CN

Funding

Beijing Natural Science Foundation 7192041National Key Research and Development Plan 2017YFC0114003National Natural Science Foundation of China 81771860National Natural Science Foundation of China 81971642
6 · The paper itself

Abstract

Accurate differentiation of intermediate/high mitosis-karyorrhexis index (MKI) from low MKI is vital for the further management of neuroblastoma. The purpose of this research was to investigate the efficacy of

Indexed as

machine learningmitosis-karyorrhexis indexneuroblastomanomogramPET/CT

Identifiers

PMID35204353
PMCPMC8871335
OpenAlexW4206901523

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.