Evidence map›Paper›PMID 35784263›Full record

ArticleFrontiers in public health2022

A Prospectively Validated Nomogram for Predicting the Risk of PHQ-9 Score ≥15 in Patients With Erectile Dysfunction: A Multi-Center Study.

Yu Zheng, Ming Gao, Guangdong Hou, Niuniu Hou, Xiao Feng, Tommaso B Jannini, Di Wei, Wanxiang Zheng, Lei Zhang, Xinlong Dun and 5 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2022. 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
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 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

15 authors at 4 institutions in 2 countries.

Yu ZhengDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Ming GaoDepartment of Andrology, Xi'an Daxing Hospital, Shaanxi University of Chinese Medicine, Xi'an, China.
Guangdong HouDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Niuniu HouDepartment of General Surgery, Eastern Theater Air Force Hospital of PLA, Nanjing, China.
Xiao FengDepartment of Anatomy, Histology and Embryology, Air Force Medical University, Xi'an, China.
Tommaso B JanniniDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Di WeiDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Wanxiang ZhengDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Lei ZhangDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xinlong DunDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Geng ZhangDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Fuli WangDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Ping MengDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Emmanuele A JanniniDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Jianlin YuanDepartment of Urology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Air Force Medical University · CNUniversity of Rome Tor Vergata · ITXijing Hospital · CNShaanxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although erectile dysfunction (ED) often occurs simultaneously with depression, not all patients with ED suffer major depression (MD), with a PHQ-9 score ≥15 indicating MD. Because the PHQ-9 questionnaire includes phrases such as "I think I am a loser" and "I want to commit suicide," the psychological burdens of ED patients are likely to increase inevitably after using the PHQ-9, which, in turn, may affect ED therapeutic effects. Accordingly, we endeavored to develop a nomogram to predict individual risk of PHQ-9 score ≥15 in these patients. Methods: The data of 1,142 patients with ED diagnosed in Xijing Hospital and Northwest Women and Children's Hospital from January 2017 to May 2020 were analyzed. While the Least Absolute Shrinkage and Selection Operator regression was employed to screen PHQ-9 score ≥15 related risk factors, multivariate logistic regression analysis was performed to verify these factors and construct the nomogram. The training cohort and an independent cohort that comprised 877 prospectively enrolled patients were used to demonstrate the efficacy of the nomogram. Results: The IIEF-5 score, PEDT score, physical pain score, frequent urination, and feeling of endless urination were found to be independent factors of PHQ-9 score ≥15 in patients with ED. The nomogram developed by these five factors showed good calibration and discrimination in internal and external validation, with a predictive accuracy of 0.757 and 0.722, respectively. The sensitivity and specificity of the nomogram in the training cohort were 0.86 and 0.52, respectively. Besides, the sensitivity and specificity of the nomogram in the validation cohort were 0.73 and 0.62, respectively. Moreover, based on the nomogram, the sample was divided into low-risk and high-risk groups. Conclusion: This study established a nomogram to predict individual risk of PHQ-9 score ≥15 in patients with ED. It is deemed that the nomogram may be employed initially to avoid those with a low risk of MD completing questionnaires unnecessarily.

Indexed as

Erectile DysfunctionNomogramsChildCohort StudiesFemaleHumansMalePatient Health QuestionnaireRisk Factorserectile dysfunctionmajor depressionnomogramprognostic factorrisk factor

Identifiers

PMID35784263
PMCPMC9247334
OpenAlexW4283080396

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.