Evidence map›Paper›PMID 42453033›Full record

ReviewThe Journal of international medical research2026

Development and application of organoid technology in pituitary neuroendocrine tumor research.

Qing Rao, Jun Shen, Zeyu Lin, Zhang Xiong, Xiaochun Jiang, Yonghong Zhu, Shaolin Zhang

Abstract readReview
In one paragraph

Review in The Journal of international medical research, 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

7 authors.

Qing RaoDepartment of Histology and Embryology, School of Medicine, Sun Yat-sen University, China.ORCID 0000-0001-5573-7016
Jun ShenDepartment of Neurosurgery, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), China.
Zeyu LinDepartment of Neurosurgery, The Sixth Affiliated Hospital, Sun Yat-sen University, China.
Zhang XiongDepartment of Neurosurgery, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), China.
Xiaochun JiangDepartment of Neurosurgery, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), China.
Yonghong ZhuDepartment of Histology and Embryology, School of Medicine, Sun Yat-sen University, China.
Shaolin ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital of Wannan Medical University), China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review examines the development of organoid technology and its recent advances in the study of pituitary neuroendocrine tumors. As three-dimensional in vitro culture models, organoids can recapitulate the structural and functional characteristics of native organs, providing an innovative platform for investigating disease mechanisms, conducting drug screening, and developing personalized treatment strategies for pituitary neuroendocrine tumors. The article begins with an overview of the historical progression of organoid technology and then focuses on its specific applications in pituitary neuroendocrine tumor research, including disease modeling, drug testing, and potential uses in regenerative medicine. Finally, it addresses current challenges in the field and outlines future research directions and potential clinical applications.

Indexed as

Neuroendocrine TumorsOrganoidsPituitary NeoplasmsAnimalsCell Culture Techniques, Three DimensionalHumansPrecision MedicineRegenerative Medicinedisease modelingdrug screeningOrganoidspersonalized medicinepituitary neuroendocrine tumorthree-dimensional culture

Identifiers

PMID42453033
PMCPMC13373369

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.