Evidence map›Paper›PMID 38321311›Full record

ArticleJournal of imaging informatics in medicine2024

Predicting T-Cell Lymphoma in Children From

Taiyu Yang, Danyan Liu, Zexu Zhang, Ri Sa, Feng Guan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic Value ofTechnology in cancer research & treatment
    Pooled it
  2. Review
  3. 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

5 authors.

Taiyu Yang *Department of Nuclear Medicine, The First Hospital of Jilin University, 1# Xinmin St, Changchun, 130021, China.
Danyan Liu *Department of Radiology, The First Hospital of Jilin University, 1# Xinmin St, Changchun, 130021, China.
Zexu ZhangDepartment of Nuclear Medicine, The First Hospital of Jilin University, 1# Xinmin St, Changchun, 130021, China.
Ri SaDepartment of Nuclear Medicine, The First Hospital of Jilin University, 1# Xinmin St, Changchun, 130021, China. sari@jlu.edu.cn.
Feng GuanDepartment of Nuclear Medicine, The First Hospital of Jilin University, 1# Xinmin St, Changchun, 130021, China. guanfeng@jlu.edu.cn.

Funding

Jilin Natural Science Foundation 20210101283JCNational Natural Science Foundation of China 82202204
6 · The paper itself

Abstract

This study aimed to examine the feasibility of utilizing radiomics models derived from

Indexed as

Fluorodeoxyglucose F18Lymphoma, T-CellMachine LearningPositron Emission Tomography Computed TomographyAdolescentChildChild, PreschoolFemaleHumansMaleRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTChildrenLymphomaRadiomicsT-cell

Identifiers

PMID38321311
PMCPMC11169166

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.