Evidence map›Paper›PMID 38888802›Full record

ArticleEJNMMI research2024

Early diagnosis and staging of paraquat-induced pulmonary fibrosis using [

Dimei Zhang, Yusheng Shi, Jiangwei Kong, Na Chen, Guiting Li, Mingfang Wang, Guoxia Zhang, Chuangyan Zhai

Abstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. 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

8 authors.

Dimei Zhang *Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Yusheng Shi *Department of Radiation Oncology, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, 519000, China.
Jiangwei KongSchool of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
Na ChenDepartment of Pathology, Guangdong Women and Children Hospital, Guangzhou, 511400, China.
Guiting LiResearch and Development Center, Guangdong Huixuan Pharmaceutical Technology Co., Ltd., Guangzhou, 510765, China.
Mingfang WangResearch and Development Center, Guangdong Huixuan Pharmaceutical Technology Co., Ltd., Guangzhou, 510765, China.
Guoxia ZhangGuangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, China. guoxiazhang@smu.edu.cn.ORCID http://orcid.org/0000-0003-2530-3238
Chuangyan ZhaiDepartment of Nuclear Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. zhaichuangyan@163.com.ORCID http://orcid.org/0000-0003-1886-8708

Funding

Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment 2021B1212040004National Natural Science Foundation of China 22077061National Natural Science Foundation of China 31500076National Natural Science Foundation of China 81871418National Natural Science Foundation of China 82173476
6 · The paper itself

Abstract

backgroundParaquat (PQ) -induced pulmonary fibrosis poses a significant medical challenge due to limited treatment options and high mortality rates. Consequently, there is an urgent need for early diagnosis and accurate staging to facilitate appropriate treatment strategies. In this study, we assessed the diagnostic potential of [

methodsAfter administering 80 mg/kg of PQ orally to Sprague-Dawley rats, we intravenously injected 3-3.5 MBq of [

resultsPET signals revealed that in areas with evident lesions on CT, the SUV

conclusion[

Indexed as

[18F]F-FAPI-42Disease stagingEarly diagnosisPET/CTPulmonary fibrosis

Identifiers

PMID38888802
PMCPMC11189367

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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.