Evidence map›Paper›PMID 42717265›Full record

ArticleInternational journal of urology : official journal of the Japanese Urological Association2026

Visceral Fat Volume and Inguinal Hernia After Robot-Assisted Radical Prostatectomy: A Three-Dimensional CT Analysis.

Hiroshi Kano, Kouji Izumi, Ryunosuke Nakagawa, Taiki Kamijima, Renato Naito, Tomoyuki Makino, Hiroaki Iwamoto, Hiroshi Yaegashi, Takahiro Nohara, Kazuyoshi Shigehara and 1 more

Abstract read
In one paragraph

Article in International journal of urology : official journal of the Japanese Urological Association, 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
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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

11 authors.

Hiroshi KanoDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-3543-1236
Kouji IzumiDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-8480-9100
Ryunosuke NakagawaDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-2503-8908
Taiki KamijimaDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0009-0003-2553-0497
Renato NaitoDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-3936-7235
Tomoyuki MakinoDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0003-2554-7048
Hiroaki IwamotoDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0003-3599-2217
Hiroshi YaegashiDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0003-3188-8834
Takahiro NoharaDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0001-9792-2068
Kazuyoshi ShigeharaDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-2118-9135
Atsushi MizokamiDepartment of Integrative Cancer Therapy and Urology, Kanazawa University Graduate School of Medical Science, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLow body mass index has been reported as a risk factor for inguinal hernia after robot-assisted radical prostatectomy, but whether this association reflects reduced fat mass or reduced muscle mass remains unclear. This study aimed to determine which three-dimensional computed tomography-derived body composition parameter is associated with postoperative inguinal hernia.

methodsWe retrospectively analyzed 280 patients who underwent robot-assisted radical prostatectomy between February 2016 and January 2024 and had available preoperative non-contrast computed tomography images. Visceral fat volume, subcutaneous fat volume, and psoas muscle volume were quantified using three-dimensional analysis. Cox proportional hazards models were used to evaluate factors associated with postoperative inguinal hernia.

resultsInguinal hernia occurred in 23 patients (8%). Patients who developed inguinal hernia had lower BMI, visceral fat volume, and subcutaneous fat volume than those who did not, whereas psoas muscle volume did not differ significantly. In the multivariable visceral fat volume model, greater visceral fat volume was associated with a lower risk of inguinal hernia (HR per 1 000-cm

conclusionsLower visceral fat volume was associated with a higher risk of inguinal hernia after robot-assisted radical prostatectomy. These findings may provide insight into the body composition factors relevant to the previously reported association between low body mass index and postoperative inguinal hernia.

Indexed as

Hernia, InguinalIntra-Abdominal FatPostoperative ComplicationsProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresAgedBody Mass IndexHumansImaging, Three-DimensionalMaleMiddle AgedPsoas MusclesRetrospective StudiesRisk FactorsTomography, X-Ray Computedbody mass indexcomputed tomography volumetryinguinal herniarobot‐assisted radical prostatectomyvisceral fat volume

Identifiers

PMID42717265
PMCPMC13558465

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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.