Evidence map›Paper›PMID 36101803›Full record

ReviewContrast media & molecular imaging2022

Application of Genetically Encoded Molecular Imaging Probes in Tumor Imaging.

Meng Du, Ting Wang, Yaozhang Yang, Fengyi Zeng, Yue Li, Zhiyi Chen

Abstract readReview
In one paragraph

Review in Contrast media & molecular imaging, 2022. 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. Pooled it
  2. Review
  3. 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.

Meng DuThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0003-4268-2954
Ting WangThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0001-5088-4092
Yaozhang YangThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0001-8528-2366
Fengyi ZengThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0001-6912-3082
Yue LiThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0003-0735-551X
Zhiyi ChenThe First Affiliated Hospital,Medical Imaging Centre,Hengyang Medical School, University of South China, Hengyang 421001, Hunan, China.ORCID 0000-0002-5973-4522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, imaging technology has made rapid progress to improve the sensitivity of tumor diagnostic. With the development of genetic engineering and synthetic biology, various genetically encoded molecular imaging probes have also been extensively developed. As a biomedical imaging method with excellent detectable sensitivity and spatial resolution, genetically encoded molecular imaging has great application potential in the visualization of cellular and molecular functions during tumor development. Compared to chemosynthetic dyes and nanoparticles with an imaging function, genetically encoded molecular imaging probes can more easily label specific cells or proteins of interest in tumor tissues and have higher stability and tissue contrast

Indexed as

NanoparticlesNeoplasmsHumansMolecular ImagingMolecular ProbesMolecular Probes

Identifiers

PMID36101803
PMCPMC9440812

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.