Evidence map›Paper›PMID 32875963›Full record

ReviewTechnology in cancer research & treatment

Applications of PET in Diagnosis and Prognosis of Leukemia.

Zixuan Zhao, Yanwen Hu, Jihui Li, Yeye Zhou, Bin Zhang, Shengming Deng

Open access · goldAbstract readReview
In one paragraph

Review in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Baseline [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Clinical value ofCellular oncology (Dordrecht, Netherlands) · 2024
    Article
  7. Case report:Frontiers in oncology · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Zixuan ZhaoDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0003-3990-7809
Yanwen HuDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.
Jihui LiDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.
Yeye ZhouDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.
Bin ZhangDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.
Shengming DengDepartment of Nuclear Medicine, 74566The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a malignant hematopoietic stem cell disease, leukemia remains life-threatening due to its increasing incidence rate and mortality rate. Therefore, its early diagnosis and treatment play a very important role. In the present work, we systematically reviewed the current applications and future directions of positron emission tomography (PET) in patients with leukemia, especially

Indexed as

Positron-Emission TomographyDisease ManagementDisease ProgressionFemaleFluorodeoxyglucose F18Graft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansLeukemiaMalePositron Emission Tomography Computed TomographyPrognosisRadioactive TracersRadiopharmaceuticalsTransplantation, HomologousFluorodeoxyglucose F18Radioactive TracersRadiopharmaceuticalsdiagnosisextramedullaryFDGleukemiaPETprognosis

Identifiers

PMID32875963
PMCPMC7476341
OpenAlexW3082663502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.