Evidence map›Paper›PMID 38611602›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Introducing a New Smartphone Applied Semen Analyzer, SpermCell™: A Cross-Sectional Validation Study with a Comparative Analysis and a Mini Patient Questionnaire on a Large Sample Cohort.

Muhammet Murat Dincer, Serhat Yentur, Aykut Colakerol, Gokhan Cil, Ramazan Omer Yazar, Engin Kandirali, Atilla Semercioz, Ahmet Yaser Muslumanoglu, Mustafa Zafer Temiz

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

9 authors.

Muhammet Murat DincerDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.ORCID 0000-0001-7110-4155
Serhat YenturDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Aykut ColakerolDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Gokhan CilDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Ramazan Omer YazarDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Engin KandiraliDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.ORCID 0000-0003-0580-2144
Atilla SemerciozDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Ahmet Yaser MuslumanogluDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.
Mustafa Zafer TemizDepartment of Urology, Bagcilar Training and Research Hospital, Istanbul 34200, Turkey.

Funding

Hillal Biotech. Bioeng. Inc., Izmir, Turkey NA
6 · The paper itself

Abstract

(1) Background: Standard semen analysis methods may exhibit variability between observers and/or human error; therefore, additional methods are needed to overcome these handicaps. We aimed to present a new smartphone-applied semen analyzer, Sperm Cell™, investigate its diagnostic efficacy by comparing it with the standard analysis method, and determine its user-friendly nature. (2) Methods: A cross-sectional study was conducted on a large sample cohort, including 102 men. Three semen analyses were performed for each semen sample. The first employed the standard manual method, whereas the others were smartphone-based analyses performed by technicians and patients. We compared major semen parameters between the three semen analyses. The user-friendly nature of the analyzer was also evaluated with a mini-questionnaire completed by the participants. (3) Results: The determined median sperm count, motile sperm count, and percentage of motile sperms, on standard manual semen analysis, were 50.00 × 10

Indexed as

medical devicepoint-of-care testingsemen analysissmartphonevalidation study

Identifiers

PMID38611602
PMCPMC11011288

What OpenQuestion holds

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Registered trials

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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.