Evidence map›Paper›PMID 41620998›Full record

Observational studyMycopathologia2026

Risk factors for Poor Response to Itraconazole in Onychomycosis Patients: A Prospective, Observational Study in China.

Chang Miao, Yubo Ma, Xingyu Li, Tianshuo Zhao, Haijun Miao, Dong Yan, Luming Hai, Gang Wang, Yanyang Guo, Meng Fu

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Mycopathologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Chang Miao *Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Yubo Ma *Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Xingyu LiDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Tianshuo ZhaoDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Haijun MiaoDepartment of Dermatology, The 940 Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, 730050, China.
Dong YanDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Luming HaiDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Gang WangDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Yanyang GuoDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. guoyanyang369@139.com.
Meng FuDepartment of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. fumeng@fmmu.edu.cn.ORCID http://orcid.org/0000-0002-8867-0951

Funding

Natural Science Foundation of China NSFC No.82173409Natural Science Foundation of Shaanxi Province No. 2020JM-323Research Project from Xijing Hospital No. XJZT24JC26Research Project from Xijing Hospital No. XJZT24QN33
6 · The paper itself

Abstract

objectivesWe aim to explore the factors that influence the varying prognostic outcomes of itraconazole treatment in patients with onychomycosis. A prediction model for treatment failure of onychomycosis to itraconazole was developed and validated.

methodsThis study is a prospective, case-cohort study of observational cases. Patient information meeting the inclusion criteria will be grouped and compared based on their outcomes six months after treatment.

resultsA total of 437 patients were enrolled in our study, and the following factors were correlated with prognosis: patient ages, duration of illness, number of affected nails, fungal species, clinical classification, nail thickness, nail involvement, and bathing frequency. Based on these variables, we constructed a predictive model for treatment failure in onychomycosis. The accuracy and precision of the prediction model for itraconazole treatment failure in onychomycosis were 0.936 and 0.924.

conclusionFirst, this study validated that multiple factors are associated with the prognosis of itraconazole pulse therapy for onychomycosis, suggesting that early treatment of the disease and attention to bathing habits can lead to better therapeutic outcomes. Second, based on the contribution of representative variables to the predictive power of the binary multivariate logistic regression model, it can help clinicians better understand the characteristics of patients with onychomycosis who experience treatment failure. These characteristics mainly include a longer disease duration, non-dermatophyte infections, multiple nail involvement, and significant psychological impact. Based on these features, it provides a reliable basis for determining the optimal treatment course of itraconazole pulse therapy for onychomycosis and whether additional treatment is needed.

Indexed as

Antifungal AgentsItraconazoleOnychomycosisAdolescentAdultAgedChinaFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsTreatment FailureTreatment OutcomeAntifungal AgentsItraconazoleCase-cohort studyItraconazoleOnychomycosisPrediction modelTrichophyton rubrum

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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.