Evidence map›Paper›PMID 26098884›Full record

ArticlePloS one2015

Cardiovascular Risk Factors and Ethnicity Are Independent Factors Associated with Lower Urinary Tract Symptoms.

Jasmine Lim, Nirmala Bhoo-Pathy, Selvalingam Sothilingam, Rohan Malek, Murali Sundram, Guan Hee Tan, Badrulhisham Bahadzor, Teng Aik Ong, Keng Lim Ng, Azad Hassan Abdul Razack

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Hypertension, cardiovascular disease, and nocturia: a systematic review of the pathophysiological mechanisms.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Pooled it
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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

10 authors at 6 institutions in 3 countries.

Jasmine LimDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Nirmala Bhoo-PathyJulius Center University of Malaya, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Primary Care, University Medical Center Utrecht, 3508GA, Utrecht, Netherlands.
Selvalingam SothilingamDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Rohan MalekDepartment of Urology, Selayang Hospital, Selangor, Malaysia.
Murali SundramDepartment of Urology, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia.
Guan Hee TanDepartment of Surgery, University Kebangsaan Malaysia Medical Center, Kuala Lumpur, Malaysia.
Badrulhisham BahadzorDepartment of Surgery, University Kebangsaan Malaysia Medical Center, Kuala Lumpur, Malaysia.
Teng Aik OngDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Keng Lim NgDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Centre for Kidney Disease Research, School of Medicine, University of Queensland, Translational Research Institute, Brisbane, Australia.
Azad Hassan Abdul RazackDepartment of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
University of Malaya · MYUniversity Kebangsaan Malaysia Medical Centre · MYHospital Kuala Lumpur · MYHospital Selayang · MYTranslational Research Institute · AUUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the lower urinary tract symptoms (LUTS) profile and factors affecting its degree of severity including cardiovascular risk profile, age, ethnicity, education level and prostate volume in a multiethnic Asian setting. MATERIALS AND

methodsWe conducted a cross-sectional study of 1021 men aged 40-79 years with no clinical evidence of prostate cancer, prostate surgery or 5α-reductase inhibitor treatment of known prostate conditions. The severity of LUTS was assessed using the International Prostate Symptom Score (IPSS). Potential factors associated with LUTS including age, ethnicity, education, history of hypertension, diabetes and hypercholesterolemia, height, weight, and prostate volume were evaluated using univariable and multivariable analyses.

resultsThere were 506 (50%) men found to have moderate-to-severe LUTS attaining an IPSS above 7. Overall, nocturia (45.5%) was the most frequently reported symptom. Multivariable analysis showed that age, ethnicity, prostate volume and history of hypertension and hypercholesterolemia were independent factors associated with severity of LUTS (p < 0.05). Considering individual lower urinary tract symptoms, we found a strong association of storage symptom with history of hypertension and hypercholesterolemia. Malay men were significantly bothered by post micturition symptom compared to their Chinese and Indian counterparts. Stratified analyses of LUTS demonstrated a mutually exclusive cardiovascular risk factors profile defined by ethnicity.

conclusionSeverity of LUTS varies between different ethnicities across all age groups. In addition to age and prostate volume, ethnicity and cardiovascular risk factors including hypertension and hypercholesterolemia may also need to be taken into account in managing men with LUTS.

Indexed as

AdultAgedAsian PeopleCardiovascular DiseasesCross-Sectional StudiesEthnicityHumansLower Urinary Tract SymptomsMaleMiddle AgedProstateRisk FactorsSeverity of Illness IndexSurveys and QuestionnairesUrination

Identifiers

PMID26098884
PMCPMC4476577
OpenAlexW846952652

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.