Evidence map›Paper›PMID 42657016›Full record

ArticleChemical & biomedical imaging2026

An Alginate Hydrogel-Based Novel Oral Contrast Agent Designed for Gastric Computed Tomography Imaging.

Xiaoqiang Shang, Wenyu Ling, Ronghuan Wan, Hongkai Xie, Shiyang Zhang, Weiyu Shu, Yufeng Chen, Hua Zhang

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaoqiang ShangSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330003, China.ORCID https://orcid.org/0000-0003-2397-8733
Wenyu LingSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330003, China.
Ronghuan WanDepartment of Radiology, the Third Affiliated Hospital, Jiangxi Medical College, Nanchang University (Department of Radiology, the First Hospital of Nanchang), Nanchang 330008, China.
Hongkai XieDepartment of Radiology, the Third Affiliated Hospital, Jiangxi Medical College, Nanchang University (Department of Radiology, the First Hospital of Nanchang), Nanchang 330008, China.
Shiyang ZhangDepartment of Radiology, the Third Affiliated Hospital, Jiangxi Medical College, Nanchang University (Department of Radiology, the First Hospital of Nanchang), Nanchang 330008, China.
Weiyu ShuDepartment of Radiology, the Third Affiliated Hospital, Jiangxi Medical College, Nanchang University (Department of Radiology, the First Hospital of Nanchang), Nanchang 330008, China.
Yufeng ChenSchool of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330003, China.
Hua ZhangDepartment of Radiology, the Third Affiliated Hospital, Jiangxi Medical College, Nanchang University (Department of Radiology, the First Hospital of Nanchang), Nanchang 330008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In gastric computed tomography (CT), oral contrast agents can enhance the image quality, thereby improving the diagnostic sensitivity and effectiveness for the early detection of gastrointestinal diseases. However, current oral contrast agents are mostly liquid and suffer from rapid gastric emptying rates and short retention times, resulting in unsatisfactory CT results. Here, we present a contrast agent that enables calcium carbonate and sodium alginate to undergo a gelation reaction in the acidic environment of the stomach, facilitating the

Indexed as

alginate hydrogelgastric CTiohexolmedical imagingoral contrast agent

Identifiers

PMID42657016
PMCPMC13508509

What OpenQuestion holds

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Registered trials

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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.