Evidence map›Paper›PMID 38647690›Full record

ArticleJournal of cancer research and clinical oncology2024

A comparison study of dynamic [

Yue Pan, Haodan Dang, Haoxi Zhou, Huaping Fu, Shina Wu, Huanhuan Liu, Jinming Zhang, Ruimin Wang, Yuan Tian, Baixuan Xu

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Yue Pan *Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Haodan Dang *Department of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Haoxi ZhouChinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Huaping FuDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Shina WuDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Huanhuan LiuChinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Jinming ZhangDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Ruimin WangDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Yuan Tian *Department of Radiology, The 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Baixuan Xu *Department of Nuclear Medicine, First Medical Center of Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China. xubx301@126.com.
Chinese PLA General Hospital · CN

Funding

the National Natural Science Foundation of China 82001859
6 · The paper itself

Abstract

purposeTo investigate and compare the dynamic positron emission tomography (PET) imaging with [

methods[

resultsCompared to

conclusion[

Indexed as

Brain NeoplasmsGlioblastomaMethioninePositron-Emission TomographyAnimalsCarbon RadioisotopesCell Line, TumorDisease Models, AnimalFluorine RadioisotopesHumansMalePeptides, CyclicRadiopharmaceuticalsRatsalfatide IICarbon RadioisotopesFluorine RadioisotopesMethioninePeptides, CyclicRadiopharmaceuticals[11C]Methionine([11C]MET)[18F]Alfatide IIGlioblastoma multiforme (GBM)Positron emission tomography (PET)

Identifiers

PMID38647690
PMCPMC11035414
OpenAlexW4395011229

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.