Evidence map›Paper›PMID 33532582›Full record

ArticleBioengineering & translational medicine2021

Point-of-care semen analysis of patients with infertility via smartphone and colorimetric paper-based diagnostic device.

Yu-Ting Tsao, Chung-Yao Yang, Yun-Chiao Wen, Ting-Chang Chang, Koji Matsuura, Yu Chen, Chao-Min Cheng

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Yu-Ting TsaoInstitute of Biomedical Engineering National Tsing Hua University Hsinchu Taiwan.ORCID https://orcid.org/0000-0002-6231-6014
Chung-Yao YangDepartment of Research and Development Hygeia Touch Inc. Taipei Taiwan.
Yun-Chiao WenDepartment of Education Chang Gung Memorial Hospital Linkou Branch Taoyuan Taiwan.
Ting-Chang ChangDepartment of Obstetrics and Gynecology Chang Gung Memorial Hospital Linkou Branch Taoyuan Taiwan.
Koji MatsuuraDepartment of Biomedical Engineering, Faculty of Engineering Okayama University of Science Okayama Japan.
Yu ChenDepartment of Urology Chang Gung Memorial Hospital and Chang Gung University Taoyuan Taiwan.
Chao-Min ChengInstitute of Biomedical Engineering National Tsing Hua University Hsinchu Taiwan.
Chang Gung University · TWNational Tsing Hua University · TWChang Gung Memorial Hospital · TWIndustrial Development Bureau · TWOkayama University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male infertility affects millions of males worldwide and is rising in prevalence due to social and environmental conditions. However, men often feel too embarrassed to receive a semen analysis in the hospital due to social stigmas. To overcome this problem, we developed a 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide test strip to distinguish semen samples with low total motile sperm concentration from those with normal motile sperm concentration. This is a point-of-care colorimetric semen analytical method with a one-step, inexpensive, equipment-free evaluation process, and adequate accuracy validated in a 42-sample clinical trial. In this study, results were evaluated visually and with a smartphone application. Using visual observation methods, the area under the curve (AUC) was 0.71 (95% of confidence interval = 0.55-0.86;

Indexed as

infertilityMTTpaper‐based diagnostic devicepoint‐of‐caresemen analysis

Identifiers

PMID33532582
PMCPMC7823130
OpenAlexW3046217844

What OpenQuestion holds

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LicenceCC BY
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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.