Evidence map›Paper›PMID 34105274›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Harnessing X-Ray Energy-Dependent Attenuation of Bismuth-Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis.

Shiman Wu, Xianfu Meng, Xingwu Jiang, Yelin Wu, Shaojie Zhai, Xiaoshuang Wang, Yanyan Liu, Jiawen Zhang, Xinxin Zhao, Yan Zhou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Human serum albumin-based KBiFJournal of nanobiotechnology · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Review
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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

12 authors at 4 institutions in 1 country.

Shiman WuDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China.
Xianfu MengDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Xingwu JiangDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Yelin WuTongji University Cancer Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, P. R. China.
Shaojie ZhaiState Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, 200050, P. R. China.
Xiaoshuang WangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China.
Yanyan LiuDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Jiawen ZhangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China.
Xinxin ZhaoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
Yan ZhouDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
Wenbo BuDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.ORCID 0000-0001-6664-3453
Zhenwei YaoDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China.
Fudan University · CNChinese Academy of Sciences · CNShanghai Jiao Tong University · CNTongji University · CN

Funding

China Postdoctoral Science Foundation 2020M681397China Postdoctoral Science Foundation BX20200245Key Project of Shanghai Science and Technology Commission 19JC1412000Key Project of Shanghai Science and Technology Commission 19JC1412002National Funds for Distinguished Young Scientists 51725202National Key R&D Program of China 2018YFA0107900National Natural Science Foundation of China 51872094National Natural Science Foundation of China 81671732Shanghai Key Laboratory of Magnetic Resonance SKMR2020B01
6 · The paper itself

Abstract

Timely detection of liver fibrosis by X-ray computed tomography (CT) can prevent its progression to fatal liver diseases. However, it remains quite challenging because conventional CT can only identify the difference in density instead of X-ray attenuation characteristics. Spectral CT can generate monochromatic imaging to specify X-ray attenuation characteristics of the scanned matter. Herein, an X-ray energy-dependent attenuation strategy originated from bismuth (Bi)-based nanoprobes (BiF

Indexed as

Tomography, X-Ray ComputedAnimalsBismuthContrast MediaDisease Models, AnimalHumansIndolesLiverLiver CirrhosisMiceNanoparticlesPhantoms, ImagingPolymersRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedSpectroscopy, Fourier Transform InfraredBismuthContrast MediaIndolespolydopaminePolymersBiF3@PDA@HA nanoprobeshyaluronic acidliver fibrosisspectral computed tomography

Identifiers

PMID34105274
PMCPMC8188217
OpenAlexW3136505905

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.