Evidence map›Paper›PMID 39736770›Full record

ReviewStem cell research & therapy2024

Research advances in the construction of stem cell-derived ovarian organoids.

Tianyue Zhang, Mengtong Zhang, Sichen Zhang, Shaowei Wang

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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  9. Article
  10. NAM journal · 2025
    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

4 authors.

Tianyue ZhangDepartment of Gynecology and Obstetrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Mengtong ZhangDepartment of Gynecology and Obstetrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Sichen ZhangDepartment of Gynecology and Obstetrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Shaowei WangDepartment of Gynecology and Obstetrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China. w_sw999@163.com.ORCID 0000-0001-9423-3785

Funding

National High Level Hospital Clinical Research Funding BJ-2021-236National High Level Hospital Clinical Research Funding BJ-2023-182
6 · The paper itself

Abstract

Ovarian organoids are essential in female reproductive medicine, enhancing our understanding of ovarian diseases and improving treatments, which benefits women's health. Constructing ovarian organoids involves two main processes: differentiating induced pluripotent stem cells (iPSCs) into germ and ovarian somatic cells to restore ovarian function and using extracellular matrix (ECM) to create a suitable ovarian microenvironment and scaffold. Although the technology is still in its early stages, future advancements will likely involve integrating high-throughput analysis, 3D-printed scaffolds, and efficient iPSC induction, driving progress in reproductive and regenerative medicine.

Indexed as

Induced Pluripotent Stem CellsOrganoidsOvaryAnimalsCell DifferentiationExtracellular MatrixFemaleHumansRegenerative MedicineTissue EngineeringTissue ScaffoldsDecellularizationExtracellular matrixOvarian organoidPluripotent stem cellsSynthetic matrices

Identifiers

PMID39736770
PMCPMC11687137

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.