Evidence map›Paper›PMID 29344297›Full record

ArticleTheranostics2018

Mesoporous Carbon Nanospheres as a Multifunctional Carrier for Cancer Theranostics.

Libo Zhou, Ying Jing, Yubin Liu, Zhihe Liu, Duyang Gao, Haobin Chen, Weiye Song, Tao Wang, Xiaofeng Fang, Weiping Qin and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 126 citations in OpenAlex.

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  10. Building of CuOPharmaceutics · 2024
    Article
  11. Article
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  13. Article
  14. Carbon-Based Stimuli-Responsive Nanomaterials: Classification and Application.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  15. Article
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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

14 authors at 2 institutions in 2 countries.

Libo ZhouState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Ying JingState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Yubin LiuBioimaging Core, Faculty of Health Science, University of Macau Taipa, Macau SAR, 999078, China.
Zhihe LiuState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Duyang GaoBioimaging Core, Faculty of Health Science, University of Macau Taipa, Macau SAR, 999078, China.
Haobin ChenState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Weiye SongState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Tao WangState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Xiaofeng FangState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Weiping QinState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Zhen YuanBioimaging Core, Faculty of Health Science, University of Macau Taipa, Macau SAR, 999078, China.
Sheng DaiChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Zhen-An QiaoState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering; State Key Laboratory of Inorganic Synthesis and Preparation Chemistry, College of Chemistry, Jilin University, Changchun 130012, China.
Changfeng WuDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Oak Ridge National Laboratory · USSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical nanomaterials with intense absorption in near-infrared (NIR) region hold great promise for biomedical applications such as photothermal therapy (PTT) and photoacoustic imaging (PAI). In this work, we report mesoporous carbon nanospheres (Meso-CNs) with broadband and intense absorption in the UV-Vis-NIR region (300-1400 nm) and explore their potential as a multifunctional platform for photoacoustic imaging and chemo-photothermal therapy.

Indexed as

AnimalsCarbonDrug CarriersFemaleHeLa CellsHumansMCF-7 CellsMiceMice, Inbred ICRNanospheresNeoplasms, ExperimentalPhotoacoustic TechniquesPhotochemotherapyTheranostic NanomedicineCarbonDrug Carriersdrug deliverymesoporous carbon nanospheresnear-infrared absorptionphotoacoustic imagingphotothermal therapy.

Identifiers

PMID29344297
PMCPMC5771084
OpenAlexW2769369485

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.