Evidence map›Paper›PMID 42159709›Full record

ArticleWorld journal of urology2026

Clinical utility of urinary microRNA (miR-1273g-3p) in male patients with detrusor underactivity.

Masahiro Tachibana, Chikao Aoyagi, Aiko Fujikawa, Masaki Yoshida, Ryota Sako, Riko Yokoyama, Seiya Yamashita, Takuya Miyahara, Keisuke Noda, Akito Iwata and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 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

17 authors.

Masahiro TachibanaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Chikao AoyagiDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Aiko FujikawaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Masaki YoshidaDepartment of Urology, Sakurajuji Hospital, Kumamoto, Japan.
Ryota SakoDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Riko YokoyamaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Seiya YamashitaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Takuya MiyaharaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Keisuke NodaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Akito IwataDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Taiki EmotoDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Kosuke TominagaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Naotaka GungeDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Takeshi MiyazakiDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Yu OkabeDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Nobuyuki NakamuraDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan.
Nobuhiro HagaDepartment of Urology, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Fukuoka, 814-0180, Japan. nhaga@fukuoka-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify urinary microRNAs (miRNAs) as non-invasive biomarkers for pure detrusor underactivity (DU) without bladder outlet obstruction (BOO).

methodsBased on urodynamic study (UDS), patients were classified into non-BOO DU (n = 4), BOO (n = 4), young healthy control (n = 4), and older healthy control (n = 4) groups. Urinary miRNA profiles were analyzed by microarray to identify non-BOO DU-specific candidates. To validate the non-BOO DU-specific miRNA, RT-qPCR was performed in a validation cohort classified into non-BOO DU (n = 16) and BOO (n = 15, BOO or DU + BOO) groups. Diagnostic performance was assessed by receiver-operating characteristic (ROC) curve analysis, and cutoff values were determined. Clinical parameters were compared between groups stratified by the cutoff value.

resultsMicroarray analysis identified 28 urinary miRNAs with non-BOO DU-specific patterns in the exploratory cohort; hsa-miR-1273g-3p and hsa-miR-3940-5p were consistently downregulated in the non-BOO DU group in the validation cohort. ROC curve analysis showed an area under the curve (AUC) of 0.804 (95% CI 0.64-0.97) for 1273g-3p and 0.713 (95% CI 0.53-0.90) for 3940-5p. Using the cutoff value of 1273g-3p in the validation cohort, stratification showed no differences in age, BMI, post-void residual urine volume, or prostate volume, but significantly lower bladder outlet obstruction index (p = 0.033) and bladder contractility index (p = 0.021) in the low expression group.

conclusionsUrinary miRNA profiling may represent a promising non-invasive diagnostic approach for non-BOO DU. In particular, hsa-miR-1273g-3p may be a potential biomarker for identifying patients with non-BOO DU.

Indexed as

MicroRNAsUrinary Bladder, UnderactiveAdultAgedBiomarkersHumansMaleMiddle AgedUrinary Bladder Neck ObstructionBiomarkersMicroRNAsBladder outlet obstructionDetrusor underactivityUrinary extracellular vesiclesUrinary microRNA

Identifiers

PMID42159709

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.