Evidence map›Paper›PMID 38009489›Full record

ArticleJournal of clinical laboratory analysis2023

Performance evaluation of sperm concentration, motility, and morphological analysis for GSA-810 series of sperm quality analysis system.

Yan-Mei Ge, Jin-Chun Lu, Shan-Shan Tang, Yuan-Hua Xu, Yuan-Jiao Liang

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2023. 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. Article
  2. Article
  3. 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.

Yan-Mei GeCenter for Reproductive Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Jin-Chun LuCenter for Reproductive Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-3370-6993
Shan-Shan TangCenter for Reproductive Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Yuan-Hua XuCenter for Reproductive Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Yuan-Jiao LiangCenter for Reproductive Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe performance evaluation of each computer-assisted sperm analysis (CASA) system may provide a basis for the interpretation of clinical results and further improvement of the CASA system.

methodsThe accuracy of the GSA-810 CASA system was evaluated by detecting latex bead quality control products. The precision of sperm concentration, morphology, and percentages of progressively motile sperm (PR) were evaluated by coefficient of variation (CV). Three samples with sperm concentration of about 100 × 10

resultsThe detection values of latex beads were within the range of target values. The CVs of sperm concentration and PR were significantly and negatively correlated with sperm concentration (r = -0.561, p = 0.001) and PR value (r = -0.621, p < 0.001), respectively. The R

conclusionThe GSA-810 system can accurately analyze normal semen samples, but the repeatability of the results is poor for oligozoospermia and asthenozoospermia samples. The future CASA system for analyzing sperm morphology should focus on recognizing the middle and tail segments of a spermatozoon.

Indexed as

SemenSperm MotilityHumansMaleSemen AnalysisSpermatozoaSperm Countcomputer-assisted sperm analysis systemperformance evaluationsperm concentrationsperm morphologysperm motility

Identifiers

PMID38009489
PMCPMC10756940

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.