Evidence map›Paper›PMID 38543082›Full record

ReviewPharmaceuticals (Basel, Switzerland)2024

Molecular Imaging of Fibrosis in Benign Diseases: An Overview of the State of the Art.

Yongbai Zhang, Wenpeng Huang, Hao Jiao, Lele Song, Lei Kang

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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. Review
  2. Review
  3. 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

5 authors.

Yongbai ZhangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Wenpeng HuangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Hao JiaoDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Lele SongDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.
Lei KangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing 100034, China.ORCID 0000-0001-8729-4547

Funding

Beijing Municipal Science & Technology Commission Z221100007422027Beijing Science Foundation for Distinguished Young Scholars JQ21025Interdisciplinary Research Project of Peking University First Hospital 2023IR17National Natural Science Foundation of China 82171970
6 · The paper itself

Abstract

Fibrosis is a progressive pathological process participating in the progression of many diseases and can ultimately result in organ malfunction and failure. Around 45% of deaths in the United States are believed to be attributable to fibrotic disorders, and there are no favorable treatment regiments available to meet the need of blocking fibrogenesis, reversing established fibrosis, and curing diseases, especially in the terminal stage. Therefore, early detection and continuous monitoring provide valuable benefits for patients. Among all the advanced techniques developed in recent years for fibrosis evaluation, molecular imaging stands out with its distinct advantage of visualizing biochemical processes and patterns of target localization at the molecular and cellular level. In this review, we summarize the current state of the art in molecular imaging of benign fibrosis diseases. We will first introduce molecular pathways underlying fibrosis processes and potential targets. We will then elaborate on molecular probes that have been developed thus far, expounding on their mechanisms and current states of translational advancement. Finally, we will delineate the extant challenges impeding further progress in this area and the prospective benefits after overcoming these problems.

Indexed as

agent developmentbenign diseasesfibrosisfibrosis imagingmolecular imaging

Identifiers

PMID38543082
PMCPMC10974017

What OpenQuestion holds

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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.