Evidence map›Paper›PMID 29531833›Full record

ArticleCell death discovery2018

Novel biomarker

Zhiming Li, Shuai Chen, Yufeng Yang, Xuan Zhuang, Chi-Meng Tzeng

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Epigenetics of nonobstructive azoospermia.Asian journal of andrology · 2025
    Review
  4. Review
  5. Review
  6. Cell cycle (Georgetown, Tex.) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Epigenetics of Male Infertility: The Role of DNA Methylation.Frontiers in cell and developmental biology · 2021
    Review
  11. Article
  12. Article
  13. Genetic defects in human azoospermia.Basic and clinical andrology · 2019
    Article
  14. 1,25-Dihydroxyvitamin DOncoTargets and therapy · 2019
    Article
  15. Review
  16. 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

5 authors at 2 institutions in 1 country.

Zhiming Li1Translational Medicine Research Center-Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian China.
Shuai Chen1Translational Medicine Research Center-Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian China.
Yufeng Yang2Department of Urology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian China.
Xuan Zhuang2Department of Urology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian China.
Chi-Meng Tzeng1Translational Medicine Research Center-Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian China.
Xiamen University · CNFirst Affiliated Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to identify genes regulated by methylation that were involved in spermatogenesis failure in non-obstructive azoospermia (NOA). Testis biopsies of patients with NOA and OA (with normal spermatogenesis) were evaluated by microarray analysis to examine DNA methylation and mRNA expression using our established integrative approach. Of the coordinately hypermethylated and down-regulated gene list, zinc-finger CCHC-type containing 13 (

Identifiers

PMID29531833
PMCPMC5841273
OpenAlexW2794462191

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.