Evidence map›Paper›PMID 31367253›Full record

ArticleTheranostics2019

Hebei Li, Chongrui Xu, Bowen Xin, Chaojie Zheng, Yunyun Zhao, Keji Hao, Qian Wang, Richard L Wahl, Xiuying Wang, Yun Zhou

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Diagnostic Value ofTechnology in cancer research & treatment
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Clinical application ofJapanese journal of radiology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Histologic subtype classification of non-small cell lung cancer using PET/CT images.European journal of nuclear medicine and molecular imaging · 2021
    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 2 institutions in 2 countries.

Hebei LiDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Chongrui XuSchool of Computer Science, the University of Sydney, NSW 2006, Australia.
Bowen XinSchool of Computer Science, the University of Sydney, NSW 2006, Australia.
Chaojie ZhengSchool of Computer Science, the University of Sydney, NSW 2006, Australia.
Yunyun ZhaoDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Keji HaoDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Qian WangDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Richard L WahlMallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States of America.
Xiuying WangSchool of Computer Science, the University of Sydney, NSW 2006, Australia.
Yun ZhouMallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States of America.
Peking University People's Hospital · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Acute DiseaseAdolescentAdultAgedBone MarrowFemaleFluorodeoxyglucose F18HumansLeukemiaMachine LearningMaleMiddle AgedPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRecurrenceRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTbone marrow involvementmachine learningradiomicsrelapsed leukemia

Identifiers

PMID31367253
PMCPMC6643435
OpenAlexW2963284126

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.