Evidence map›Paper›PMID 33017898›Full record

ArticleInternational neurourology journal2020

Seasonal Variation of Drug Prescription Rate for Overactive Bladder in Men Based on National Health Insurance Claims Data, 2012-2016.

Jong Won Kim, Hyun Kyu Ahn, Jongcheol Ko, Dongu Lee, Jee Soo Ha, Jae Hwan Kim, So Jeong Park, Kang Su Cho

Open access · diamondAbstract read
In one paragraph

Article in International neurourology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jong Won KimDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Hyun Kyu AhnDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jongcheol KoDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Dongu LeeDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jee Soo HaDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jae Hwan KimData Science Team, Hanmi Pharmaceutical. Co. Ltd., Seoul, Korea.
So Jeong ParkData Science Team, Hanmi Pharmaceutical. Co. Ltd., Seoul, Korea.
Kang Su ChoDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRHanmi Pharmaceutical (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOveractive bladder (OAB) symptoms might be affected by weather, but only a few clinical studies have investigated this issue. We investigated seasonal variations in OAB-drug prescription rate (DPR) in men using nationwide claims data in Korea.

methodsA total of 2,824,140 men aged over 18 years were included from the Health Insurance Review and Assessment service - National Patient Sample data between 2012 and 2016. Depending on the monthly average temperature, the seasons were divided into 3 groups, namely, hot (June, July, August, and September), intermediate (April, May, October, and November), and cold (January, February, March, and December) seasons. OAB-DPR was estimated using the claims data, and differences in its rate were examined among the 3 seasonal groups.

resultsThe overall OAB-DPR was 1.97% (55,574 of 2,824,140). The OAB-DPR were 0.38%, 0.63%, 0.92%, 1.74%, 4.18%, 7.55%, and 9.69% in the age groups of under 30, 30s, 40s, 50s, 60s, 70s, and over 80 years, respectively; thus, the prescription rate increased with age (P<0.001), with a steeper increase after 60 years of age. OAB-DPR was 1.02% in the hot season, 1.19% in the intermediate season, and 1.27% in the cold season, with significant differences among the 3 seasonal groups (P<0.001). These seasonal variations persisted in the subgroup analysis in each age decade (P<0.001).

conclusionOAB-DPR varied with seasons and was significantly higher in the cold season than in the hot season, suggesting that cold weather may affect development and aggravation of OAB symptoms in men.

Indexed as

MenSeasonsUrinary bladder, Overactive

Identifiers

PMID33017898
PMCPMC7538287
OpenAlexW3091673140

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LicenceCC BY-NC
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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.