Evidence map›Paper›PMID 35541937›Full record

ArticleRSC advances2018

Metabolic profiling putatively identifies plasma biomarkers of male infertility using UPLC-ESI-IT-TOFMS.

F J Zeng, H C Ji, Z M Zhang, J K Luo, H M Lu, Y Wang

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid.Metabolomics : Official journal of the Metabolomic Society · 2023
    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 1 institution in 1 country.

F J ZengCollege of Chemistry and Chemical Engineering, Central South University Changsha China hongmeilu@csu.edu.cn.
H C JiCollege of Chemistry and Chemical Engineering, Central South University Changsha China hongmeilu@csu.edu.cn.
Z M ZhangCollege of Chemistry and Chemical Engineering, Central South University Changsha China hongmeilu@csu.edu.cn.
J K LuoDepartment of Integrated Traditional Chinese and Western Medicine, Male Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University Changsha China wangyang_xy87@csu.edu.cn.
H M LuCollege of Chemistry and Chemical Engineering, Central South University Changsha China hongmeilu@csu.edu.cn.ORCID https://orcid.org/0000-0002-4686-4491
Y WangDepartment of Integrated Traditional Chinese and Western Medicine, Male Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University Changsha China wangyang_xy87@csu.edu.cn.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male infertility has become a global health problem. Currently, the diagnosis of male infertility depends on the results of semen quality or requires invasive surgical intervention. The process is complex and time-consuming. Metabolomics is an emerging platform with unique advantages in disease diagnosis and pathological mechanism research. In this study, ultra-performance liquid chromatography-electrospray ionization-ion trap-time of flight mass spectrometry (UPLC-ESI-IT-TOFMS) combined with chemometrics methods was used to discover potential biomarkers of male infertility based on non-targeted plasma metabolomics. Plasma samples from healthy controls (HC,

Identifiers

PMID35541937
PMCPMC9082778
OpenAlexW2883330764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.