Evidence map›Paper›PMID 38540313›Full record

ArticleBiomedicines2024

Development of a Novel Endometrial Signature Based on Endometrial microRNA for Determining the Optimal Timing for Embryo Transfer.

Ching-Hung Chen, Farn Lu, Wen-Jui Yang, Wei-Ming Chen, Pok Eric Yang, Shih-Ting Kang, Tiffany Wang, Po-Chang Chang, Chi-Ting Feng, Jung-Hsuan Yang and 4 more

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

14 authors.

Ching-Hung ChenInstitute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300, Taiwan.
Farn LuDepartment of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu 302, Taiwan.
Wen-Jui YangDepartment of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu 302, Taiwan.ORCID 0000-0003-1459-9758
Wei-Ming ChenInti Labs, Hsinchu 302, Taiwan.ORCID 0000-0002-6841-0829
Pok Eric YangInti Labs, Hsinchu 302, Taiwan.
Shih-Ting KangPharus Taiwan, Inc., Hsinchu 302, Taiwan.
Tiffany WangInti Labs, Hsinchu 302, Taiwan.
Po-Chang ChangQuark Biosciences Taiwan, Inc., Hsinchu 302, Taiwan.
Chi-Ting FengQuark Biosciences Taiwan, Inc., Hsinchu 302, Taiwan.
Jung-Hsuan YangInti Labs, Hsinchu 302, Taiwan.
Chen-Yu LiuTaiwan IVF Group Center for Reproductive Medicine & Infertility, Hsinchu 302, Taiwan.
Chi-An HsiehTaiwan IVF Group Center for Reproductive Medicine & Infertility, Hsinchu 302, Taiwan.
Lily Hui-Ching WangInstitute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300, Taiwan.ORCID 0000-0003-0659-0139
Jack Yu-Jen HuangDepartment of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu 302, Taiwan.

Funding

National Science Council 110-2320-B-007-004-MY3National Tsing Hua University 108A0255V7Ton-Yen General Hospital TYH-RP-109001
6 · The paper itself

Abstract

Though tremendous advances have been made in the field of in vitro fertilization (IVF), a portion of patients are still affected by embryo implantation failure issues. One of the most significant factors contributing to implantation failure is a uterine condition called displaced window of implantation (WOI), which refers to an unsynchronized endometrium and embryo transfer time for IVF patients. Previous studies have shown that microRNAs (miRNAs) can be important biomarkers in the reproductive process. In this study, we aim to develop a miRNA-based classifier to identify the WOI for optimal time for embryo transfer. A reproductive-related PanelChip

Indexed as

endometrial receptivityinfertilitymicroRNAsmulti-gene analysisnon-coding RNA

Identifiers

PMID38540313
PMCPMC10968378

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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.