Evidence map›Paper›PMID 41989501›Full record

Trial reportChinese journal of integrative medicine2026

Efficacy and Safety of Yinhua Miyanling Tablets for Uncomplicated Urinary Tract Infections: A Multicenter, Randomized, Double-Blind, Double-Dummy, Active-Controlled, Non-inferiority Clinical Trial.

Zhen Du, Yi-Wen Tang, Lu-Dong Qiao, Liang Cui, Hui-Ling Wu, Jin-Qiang Yang, Feng Liu, Zhuo Yin, Jian Zhang, Tie-Jun Pan and 2 more

Abstract readMulticenter StudyRandomized Controlled TrialEquivalence Trial
PubMed Publisher
In one paragraph

Trial report in Chinese journal of integrative medicine, 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

12 authors.

Zhen Du *Department of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Yi-Wen Tang *Graduate School of Beijing University of Chinese Medicine, Beijing, 100029, China.
Lu-Dong QiaoDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Liang CuiDepartment of Urology, Civil Aviation General Hospital, Beijing, 100123, China.
Hui-Ling WuDepartment of Urology, Jinhua People's Hospital, Jinhua, Zhejiang Province, 321001, China.
Jin-Qiang YangDepartment of Urology, Beijing Shunyi District Hospital, Beijing, 101300, China.
Feng LiuDepartment of Urology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China.
Zhuo YinDepartment of Urology, the Second Xiangya Hospital of Central South University, Changsha, 410000, China.
Jian ZhangDepartment of Urology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu Province, 214023, China.
Tie-Jun PanDepartment of Urology, Chinese People's Liberation Army Central Theater Command General Hospital, Wuhan, 430070, China.
Shan ChenDepartment of Urology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. shanchentr002@126.com.
Zhan GaoDepartment of Urology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, 100091, China. gaozhanmd@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the efficacy and safety of Yinhua Miyanling Tablets (YMT) versus levofloxacin in the treatment of female patients with uncomplicated urinary tract infections (uUTIs).

methodsA multicenter, randomized, double-blind, double-dummy, active-controlled, non-inferiority clinical trial was conducted from August 2022 to August 2023 in 9 tertiary hospitals across China. By using a block randomization method, 480 female patients with uUTI were randomized in a 1:1 ratio to receive either YMT 2 g, 4 times daily for 7 consecutive days (plus levofloxacin-matching placebo) or levofloxacin tablets 0.5 g, once daily for 3 consecutive days (plus YMT-matching placebo). The primary outcome was the proportion of patients requiring additional antimicrobial therapy for uUTIs between day 1 and days 38-42 of treatment, while the secondary outcomes included the Acute Cystitis Symptom Score (ACSS) and urinalysis after 42-d treatment. Safety assessments were conducted based on all adverse events (AEs) and abnormal laboratory test results.

resultsA total of 458 women with uUTIs were enrolled in the modified intention-to-treat analysis. Between day 1 and days 38-42 of treatment, the proportion of patients requiring additional antimicrobial therapy was 20.8% (47/226) in the YMT group and 9.9% (23/232) in the levofloxacin group (P<0.01). The non-inferiority criterion (margin 8 = 20%) was met. YMT treatment improved ACSS typical symptoms and quality-of-life scores and urinalysis results compared with levofloxacin, although the differences between groups were not statistically significant (P>0.05). The incidence of treatment-emergent AEs was 7.7% (17/226) in the YMT group and 7.0% (16/232) in the levofloxacin group (P=0.775).

conclusionsYMT is non-inferior to levofloxacin in the proportion of patients requiring additional antimicrobial therapy during treatment of uUTIs in women. YMT treatment is as effective as levofloxacin in terms of improving uUTI symptoms and quality-of-life scores. YMT may be used as a promising adjunctive therapy for uUTIs in women. (Trial registration No. ChiCTR2200066312).

Indexed as

Drugs, Chinese HerbalUrinary Tract InfectionsAdultDouble-Blind MethodFemaleHumansLevofloxacinMiddle AgedTabletsTreatment OutcomeDrugs, Chinese HerbalLevofloxacinTabletsantibiotic useChinese medicinelevofloxacinnon-inferiority clinical trialrandomized controlled trialuncomplicated urinary tract infectionYinhua Miyanling Tablets

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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.