Evidence map›Paper›PMID 41741760›Full record

ArticleInternational journal of impotence research2026

The Orgasmometer-m: validation in Mandarin and measurement of orgasmic intensity in the Han population affected by premature ejaculation.

Chunlin Wang, Dake Zhu, Andrea Sansone, Elena Colonnello, Erika Limoncin, Daniele Mollaioli, Yan Zhang, Emmanuele A Jannini

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Article in International journal of impotence research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

8 authors.

Chunlin WangDepartment of Infertility and Sexual Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Dake ZhuDepartment of Infertility and Sexual Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Andrea SansoneChair of Endocrinology and Medical Sexology (ENDOSEX), Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0002-1210-2843
Elena ColonnelloChair of Endocrinology and Medical Sexology (ENDOSEX), Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0002-0081-7163
Erika LimoncinDepartment of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0009-0001-5094-0688
Daniele MollaioliDepartment of Clinical and Experimental Medicine, University of Messina, Messina, 98124, Italy.
Yan ZhangDepartment of Infertility and Sexual Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhxml@sina.com.ORCID http://orcid.org/0000-0003-4119-7359
Emmanuele A JanniniChair of Endocrinology and Medical Sexology (ENDOSEX), Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy. eajannini@gmail.com.ORCID http://orcid.org/0000-0002-5874-039X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This cross-sectional study aimed to validate the male version of the Orgasmometer in Mandarin and to examine whether Chinese men with premature ejaculation (PE) experience reduced orgasmic intensity. From September 2020 to January 2023, a group of 230 men with PE (mean age=28.2 ± 4.8) and 107 men without sexual dysfunction (mean age= 35.1 ± 6.7), who were seeking help from the Department of Infertility and Sexual Medicine, underwent a detailed assessment from the andrologist and completed a questionnaire that included the Mandarin Orgasmometer (Orgasmometer-m), the Premature Ejaculation Diagnostic Tool (PEDT), and the erectile function domain of the International Index of Erectile Function (IIEF-6). Orgasmometer-m scores were 5.0 (4.0) in the PE group and 8.0 (3.0) in the non-PE group; PEDT scores were 14.8 ± 2.5 and 3.3 ± 2.4, and IIEF-6 scores were 27.9 ± 1.6 and 29.1 ± 1.2, respectively (p < 0.001). The Orgasmometer demonstrated good discriminative validity, with an area under the curve (AUC) of 0.8296 (95% CI: 0.7873-0.8719, p < 0.0001). A score of ≤6 was identified as the optimal cutoff for distinguishing low from high orgasm intensity, yielding 66.1% sensitivity and 86.9% specificity. These findings support the reliability of the Orgasmometer-m and suggest that men with PE report diminished orgasmic experiences.

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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.