Evidence map›Paper›PMID 32226488›Full record

ArticleExperimental and therapeutic medicine2020

Association between microRNA machinery gene polymorphisms and recurrent implantation failure.

Yubin Lee, Eun Hee Ahn, Chang Soo Ryu, Jung Oh Kim, Hui Jeong An, Sung Hwan Cho, Ji Hyang Kim, Young Ran Kim, Woo Sik Lee, Nam Keun Kim

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

10 authors at 3 institutions in 1 country.

Yubin LeeDepartment of Obstetrics and Gynecology, Fertility Center of CHA Gangnam Medical Center, CHA University, Seoul 06135, Republic of Korea.
Eun Hee AhnDepartment of Obstetrics and Gynecology, Fertility Center of CHA Gangnam Medical Center, CHA University, Seoul 06135, Republic of Korea.
Chang Soo RyuDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Gyeonggi 13488, Republic of Korea.
Jung Oh KimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Gyeonggi 13488, Republic of Korea.
Hui Jeong AnDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Gyeonggi 13488, Republic of Korea.
Sung Hwan ChoDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Gyeonggi 13488, Republic of Korea.
Ji Hyang KimDepartment of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University, Seongnam, Gyeonggi 13497, Republic of Korea.
Young Ran KimDepartment of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University, Seongnam, Gyeonggi 13497, Republic of Korea.
Woo Sik LeeDepartment of Obstetrics and Gynecology, Fertility Center of CHA Gangnam Medical Center, CHA University, Seoul 06135, Republic of Korea.
Nam Keun KimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Gyeonggi 13488, Republic of Korea.
CHA University · KRCHA University Bundang Medical Center · KRCHA University Gangnam Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the potential association of five miRNA machinery gene polymorphisms (

Indexed as

Drosha ribonuclease IIImicroRNA machinery geneRas-related nuclear proteinrecurrent implantation failuresingle nucleotide polymorphism

Identifiers

PMID32226488
PMCPMC7092926
OpenAlexW3007105862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.