Evidence map›Paper›PMID 34109004›Full record

ArticleCellular and molecular bioengineering2021

A Stereological Study of Mouse Ovary Tissues for 3D Bioprinting Application.

Jia-Hua Zheng, Jing-Kun Zhang, Yan-Peng Tian, Yan-Biao Song, Zhen-Wei Yang, Xiang-Hua Huang

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Advances in Oocyte Maturation In Vivo and In Vitro in Mammals.International journal of molecular sciences · 2023
    Review
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Jia-Hua ZhengDepartment of Gynecology, Second Hospital, Hebei Medical University, No.215, He Ping Road (West), Xin Hua District, Shijiazhuang, Hebei Province China.
Jing-Kun ZhangDepartment of Gynecology, Second Hospital, Hebei Medical University, No.215, He Ping Road (West), Xin Hua District, Shijiazhuang, Hebei Province China.
Yan-Peng TianDepartment of Gynecology, Second Hospital, Hebei Medical University, No.215, He Ping Road (West), Xin Hua District, Shijiazhuang, Hebei Province China.
Yan-Biao SongDepartment of Central Laboratory, Second Hospital, Hebei Medical University, Shijiazhuang, Hebei China.
Zhen-Wei YangMorphometric Research Laboratory, North Sichuan Medical University, Nanchong, Sichuan China.
Xiang-Hua HuangDepartment of Gynecology, Second Hospital, Hebei Medical University, No.215, He Ping Road (West), Xin Hua District, Shijiazhuang, Hebei Province China.ORCID 0000-0002-4609-1222
Hebei Medical University · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of 3D-bioprinted ovaries has been proven to be a promising technique for preserving fertility. Stereology is an accurate method to obtain quantitative 3D information and the stereological data is the basis for 3D bioprinting ovaries.

methodsIn this study, six female mice were used to acquire the ovarian tissues. One of the two paraffin-embedded ovaries of each mouse was cut into 5

resultsThe ovarian volume was 2.50 ± 0.32 mm

conclusionsThe study had obtained the stereological data of the mice ovaries, which contribute to a deeper understanding of the structure of the ovaries. Meanwhile, the data will supply information for 3D bioprinting ovaries.

Indexed as

3D bioprintingOvaryStereology

Identifiers

PMID34109004
PMCPMC8175682
OpenAlexW3138381273

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.