Evidence map›Paper›PMID 29203892›Full record

ArticleProstate cancer and prostatic diseases2018

Metabolic syndrome and smoking are associated with an increased risk of nocturia in male patients with benign prostatic enlargement.

Cosimo De Nunzio, Aldo Brassetti, Flavia Proietti, Marianna Deroma, Francesco Esperto, Andrea Tubaro

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Article in Prostate cancer and prostatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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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 1 institution in 1 country.

Cosimo De NunzioDepartment of Urology, Sant'Andrea Hospital, "La Sapienza" University of Rome, 00189, Rome, Italy. cosimodenunzio@virgilio.it.
Aldo BrassettiDepartment of Urology, Sant'Andrea Hospital, "La Sapienza" University of Rome, 00189, Rome, Italy.
Flavia ProiettiDepartment of Urology, Sant'Andrea Hospital, "La Sapienza" University of Rome, 00189, Rome, Italy.
Marianna DeromaDepartment of Urology, Sant'Andrea Hospital, "La Sapienza" University of Rome, 00189, Rome, Italy.
Francesco EspertoDepartment of Urology, Sant'Andrea Hospital, "La Sapienza" University of Rome, 00189, Rome, Italy.
Andrea TubaroDepartment of Urology, Ospedale Sant'Andrea, "La Sapienza" University of Rome, 00189, Rome, Italy.
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the relationship between cigarette smoking, metabolic syndrome (MetS) and nocturia in patients with lower urinary tract symptoms (LUTS) and benign prostatic enlargement (BPE).

methodsFrom 2009 onward, a consecutive series of patients with LUTS/BPE were enrolled. Symptoms were assessed using the International Prostate Symptom Score (IPSS). Age, body mass index (BMI), smoker status, prostate volume (PV), prostate-specific antigen (PSA) levels, fasting glucose levels, triglyceride levels, and high-density lipoprotein levels were recorded. MetS was defined according to Adult Treatment Panel III criteria. Moderate/severe nocturia was defined as nocturnal micturition episodes ≥2.

resultsOverall 492 patients were enrolled with median age and BMI of 68 years (IQR 61/74) and 26.5 kg/m

conclusionsMetS and smoking doubled the risk of moderate/severe nocturia in patients with LUTS and BPE. Assessing smoking and metabolic status in LUTS/ BPE patients is suggested.

Indexed as

AgedFollow-Up StudiesHumansMaleMetabolic SyndromeNocturiaPrognosisProstatic HyperplasiaRisk FactorsSmoking

Identifiers

PMID29203892
OpenAlexW2771518697

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.