Evidence map›Paper›PMID 30791899›Full record

ArticleBMC urology2019

The relationship between prevalence and severity of lower urinary tract symptoms (LUTS), and body mass index and mid-abdominal circumference in men in a resource-poor community in Southeast Nigeria: a cross-sectional survey.

Ikenna I Nnabugwu, Fredrick O Ugwumba, Emeka I Udeh, Solomon K Anyimba, Louis T Okolie

Abstract read
In one paragraph

Article in BMC urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Ikenna I NnabugwuDepartment of Surgery, College of Medicine, University of Nigeria Ituku-Ozalla, KM 20 Enugu-PortHarcourt Highway, Enugu, PMB 01129, Nigeria. ikenna.nnabugwu@unn.edu.ng.ORCID http://orcid.org/0000-0001-5469-9265
Fredrick O UgwumbaDepartment of Surgery, College of Medicine, University of Nigeria Ituku-Ozalla, KM 20 Enugu-PortHarcourt Highway, Enugu, PMB 01129, Nigeria.
Emeka I UdehDepartment of Surgery, College of Medicine, University of Nigeria Ituku-Ozalla, KM 20 Enugu-PortHarcourt Highway, Enugu, PMB 01129, Nigeria.
Solomon K AnyimbaDepartment of Surgery, University of Nigeria Teaching Hospital Ituku-Ozalla, Enugu, Nigeria.
Louis T OkolieDepartment of Surgery, University of Nigeria Teaching Hospital Ituku-Ozalla, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is paucity of information on the community-based prevalence and severity of lower urinary tract symptoms (LUTS) in men who are 40 years and older in the southeast region of Nigeria. This study seeks to determine the community-based prevalence of LUTS and the relationship between LUTS, and body mass index (BMI) and mid-abdominal circumference (MAC) in men.

methodsAn interviewer-administered, questionnaire-based survey. Three of nine settlement clusters were randomly selected while systematic random sampling of 1 in 3 eligible subjects was used to select participants. Analysis was done using SPSS® version 20.

resultsOne thousand three hundred and nineteen duly completed questionnaires were analyzed. The respondents are within ages 40-92 years with mean age 54.2 ± 10.2 years, mean BMI 25.97 ± 4.18Kg/m

conclusionLUTS prevalence and severity vary with age, but not with BMI, MAC or Wealth-Index.

Indexed as

Body Mass IndexSeverity of Illness IndexWaist CircumferenceAdultAgedAged, 80 and overAge FactorsCross-Sectional StudiesHealth ResourcesHumansLower Urinary Tract SymptomsMaleMiddle AgedNigeriaPrevalenceBMILUTSMenMid-abdominal circumference

Identifiers

PMID30791899
PMCPMC6385379

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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.