Evidence map›Paper›PMID 35540380›Full record

ArticleRSC advances2018

The diagnosis of hepatic fibrosis by magnetic resonance and near-infrared imaging using dual-modality nanoparticles.

Yunfang Li, Wenting Shang, Xiaoyuan Liang, Chaoting Zeng, Mingming Liu, Sudan Wang, Hongjun Li, Jie Tian

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Nanomedicines in the Treatment of Liver Fibrosis: A Review.International journal of nanomedicine · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Nanotechnology in Drug Delivery for Liver Fibrosis.Frontiers in molecular biosciences · 2021
    Review
  14. Review
  15. Article
  16. Review
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 at 2 institutions in 2 countries.

Yunfang LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University 8 Xitoutiao, Youanmen, Fengtai District Beijing China 100069 lihongjun64@126.com +86 10 63051128 +86 10 83997337.
Wenting ShangKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences Zhongguancun East Road #95, Haidian Dist Beijing 100190 P. R. China jie.tian@ia.ac.cn +86 10 62527995 +86 10 82618465.
Xiaoyuan LiangKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences Zhongguancun East Road #95, Haidian Dist Beijing 100190 P. R. China jie.tian@ia.ac.cn +86 10 62527995 +86 10 82618465.
Chaoting ZengKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences Zhongguancun East Road #95, Haidian Dist Beijing 100190 P. R. China jie.tian@ia.ac.cn +86 10 62527995 +86 10 82618465.
Mingming LiuDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University 8 Xitoutiao, Youanmen, Fengtai District Beijing China 100069 lihongjun64@126.com +86 10 63051128 +86 10 83997337.
Sudan WangDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University 8 Xitoutiao, Youanmen, Fengtai District Beijing China 100069 lihongjun64@126.com +86 10 63051128 +86 10 83997337.
Hongjun LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University 8 Xitoutiao, Youanmen, Fengtai District Beijing China 100069 lihongjun64@126.com +86 10 63051128 +86 10 83997337.ORCID https://orcid.org/0000-0001-5553-6062
Jie TianKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences Zhongguancun East Road #95, Haidian Dist Beijing 100190 P. R. China jie.tian@ia.ac.cn +86 10 62527995 +86 10 82618465.
Capital University · USChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic fibrosis (HF), as the only reversible process of chronic liver disease, remains a big diagnostic challenge. Development of noninvasive and effective methods to assess quantitatively early-stage HF is of great clinical importance. Compared with conventional diagnostic methods, near-infrared fluorescence imaging (NIR) and magnetic resonance imaging (MRI) could offer highly sensitive and spatial resolution signals for HF detection. However, precise detection using contrast agents is not possible. Superparamagnetic iron oxide (SPIO) nanoparticles have low toxicity, high sensitivity and excellent biocompatibility. Integration of Fe

Identifiers

PMID35540380
PMCPMC9078292
OpenAlexW2785704704

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.