Evidence map›Paper›PMID 39263631›Full record

ArticleInternational journal of nanomedicine2024

Construction of CXCR4 Receptor-Targeted CuFeSe

Wenlu Li, Yaolin Gong, Jing Zhang, Jiong Liu, Jiali Li, Shaozhi Fu, Wen Xiu Ren, Jian Shu

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. 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

8 authors.

Wenlu Li *Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Yaolin Gong *Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Jing ZhangDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.ORCID 0009-0006-6724-6891
Jiong LiuDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.ORCID 0000-0003-2910-3882
Jiali LiDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Shaozhi FuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.ORCID 0000-0002-8666-4304
Wen Xiu RenDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Jian ShuDepartment of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Targeting, imaging, and treating tumors represent major clinical challenges. Developing effective theranostic agents to address these issues is an urgent need. Methods: We introduce an "all-in-one" tumor-targeted theranostic platform using CuFeSe Results: CuFeSe Discussion: CuFeSe

Indexed as

CopperMagnetic Resonance ImagingPhotothermal TherapyReceptors, CXCR4Theranostic NanomedicineTomography, X-Ray ComputedAnimalsBenzylaminesCell Line, TumorContrast MediaCyclamsFemaleHeterocyclic CompoundsHumansMiceMice, Inbred BALB CBenzylaminesContrast MediaCopperCXCR4 protein, mouseCyclamsHeterocyclic CompoundsplerixaforReceptors, CXCR4chemokine cxc type receptor 4dual model imagingphotothermal therapytheranostic platformtumor targeting

Identifiers

PMID39263631
PMCPMC11389715

What OpenQuestion holds

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LicenceCC BY-NC
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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.