Evidence map›Paper›PMID 25218614›Full record

ArticleInternational urology and nephrology2014

Stress urinary incontinence and visceral adipose index: a new risk parameter.

Murat Dursun, Alper Otunctemur, Emin Ozbek, Suleyman Sahin, Huseyin Besiroglu, Ismail Koklu

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In one paragraph

Article in International urology and nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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  17. Obesity and Pelvic Floor Disorders: A Review of the Literature.Medical science monitor : international medical journal of experimental and clinical research · 2016
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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

6 authors at 3 institutions in 2 countries.

Murat DursunDepartment of Urology, Bahcelievler State Hospital, Kocasinan Merkez, Bahcelievler, 34180, Istanbul, Turkey, mrt_drsn@hotmail.com.
Alper Otunctemur
Emin Ozbek
Suleyman Sahin
Huseyin Besiroglu
Ismail Koklu
Okmeydanı Eğitim ve Araştırma Hastanesi · TRState Hospital · GBIzmir Kâtip Çelebi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVisceral adipose index (VAI) is a novel parameter for the evaluation of visceral obesity. As we know that obesity is a risk factor for stress urinary incontinence (SUI), in this study we compared the VAI levels between the women with SUI and without SUI. MATERIALS AND

methodsTwo hundred and twenty-nine women were included in the study: 125 women with SUI and 104 women without SUI (control). All women were evaluated for SUI. We accessed the women for SUI at gynecologic position, and we performed cough stress test. In the calculations, continence was defined as no incontinence at all.

resultsMean age was 52.1 (29-73) in women who have SUI and 50.8 (31-65) in control women. The women with SUI had higher BMI, TG levels, higher WC and lower HDL-C levels. Mean VAI level was 5.21 ± 2.61 in study group and 3.49 ± 1.78 in control group, respectively. VAI levels were statistically higher in women with SUI (p < 0.001). DISCUSSION: The simplicity of WC and BMI measurements and TG and HDL assessments make VAI an easily applicable index for the evaluation of visceral fat dysfunction. VAI can be a useful index for the evaluation and calculation of stress urinary incontinence risk.

Indexed as

AdultAgedBody Mass IndexCase-Control StudiesCross-Sectional StudiesFemaleHumansMiddle AgedObesity, AbdominalProspective StudiesRisk FactorsTurkeyUrinary Incontinence, Stress

Identifiers

PMID25218614
OpenAlexW2086344222

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.