Evidence map›Paper›PMID 34703959›Full record

ArticleJournal of the Endocrine Society2021

Characterization of the Testis-specific

Enrique I Ramos, Barbara Yang, Yasmin M Vasquez, Ken Y Lin, Ramesh Choudhari, Shrikanth S Gadad

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. RNA therapeutics: current status and future directions.Signal transduction and targeted therapy · 2026
    Review
  2. Article
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 3 institutions in 1 country.

Enrique I RamosCenter of Emphasis in Cancer, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas 79905, USA.ORCID https://orcid.org/0000-0001-9921-7944
Barbara YangCenter of Emphasis in Cancer, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas 79905, USA.
Yasmin M VasquezDepartment of Pathology, Baylor College of Medicine, Houston, Texas 77030, USA.
Ken Y LinDepartment of Obstetrics & Gynecology and Women's Health, Division of Gynecologic Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York 10461, USA.
Ramesh ChoudhariCenter of Emphasis in Cancer, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas 79905, USA.ORCID https://orcid.org/0000-0001-7361-1652
Shrikanth S GadadCenter of Emphasis in Cancer, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas 79905, USA.ORCID https://orcid.org/0000-0003-0030-5472
Texas Tech University · USAlbert Einstein College of Medicine · USBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) have emerged as critical regulators of biological processes. However, the aberrant expression of an isoform from the same lncRNA gene could lead to RNA with altered functions due to changes in their conformations, leading to diseases. Here, we describe a detailed characterization of the gene that encodes long intergenic non-protein-coding RNA 01016 (

Indexed as

cervixgene expressiongenomicsLINC01016testisuterus

Identifiers

PMID34703959
PMCPMC8533999
OpenAlexW3202635529

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.