Evidence map›Paper›PMID 29168442›Full record

ArticleEpidemiology and infection2018

Seasonality of urinary tract infections in the United Kingdom in different age groups: longitudinal analysis of The Health Improvement Network (THIN).

A Rosello, K B Pouwels, M Domenech DE Cellès, E VAN Kleef, A C Hayward, S Hopkins, J V Robotham, T Smieszek, L Opatowski, S R Deeny

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 45 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

10 authors at 6 institutions in 3 countries.

A RoselloModelling and Economics Unit,National Infection Service, PHE,NW9 5EQ London,UK.
K B PouwelsModelling and Economics Unit,National Infection Service, PHE,NW9 5EQ London,UK.ORCID 0000-0001-7097-8950
M Domenech DE CellèsBiostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases unit,B2PHI, UMR1181, Inserm,Université de Versailles Saint Quentin, Institut Pasteur,France.ORCID 0000-0002-9302-4858
E VAN KleefMathematical and Economic Modelling Department,Mahidol Oxford Tropical Medicine Research Unit,10400 Bangkok,Thailand.
A C HaywardInstitute of Health Informatics, Farr Institute of Health Informatics Research, UCL,NW1 2DA London,UK.
S HopkinsDepartment of Infectious Diseases and Microbiology,Royal Free London NHS Foundation Trust,NW3 2QG London,UK.
J V RobothamModelling and Economics Unit,National Infection Service, PHE,NW9 5EQ London,UK.
T SmieszekModelling and Economics Unit,National Infection Service, PHE,NW9 5EQ London,UK.
L OpatowskiBiostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases unit,B2PHI, UMR1181, Inserm,Université de Versailles Saint Quentin, Institut Pasteur,France.
S R DeenyData Analytics, The Health Foundation,WC2E 9RA London,UK.
Public Health England · GBInserm · FRFarr Institute · GBHealth Foundation · GBRoyal Free London NHS Foundation Trust · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence regarding the seasonality of urinary tract infection (UTI) consultations in primary care is conflicting and methodologically poor. To our knowledge, this is the first study to determine whether this seasonality exists in the UK, identify the peak months and describe seasonality by age. The monthly number of UTI consultations (N = 992 803) and nitrofurantoin and trimethoprim prescriptions (N = 1 719 416) during 2008-2015 was extracted from The Health Improvement Network (THIN), a large nationally representative UK dataset of electronic patient records. Negative binomial regression models were fitted to these data to investigate seasonal fluctuations by age group (14-17, 18-24, 25-45, 46-69, 70-84, 85+) and by sex, accounting for a change in the rate of UTI over the study period. A September to November peak in UTI consultation incidence was observed for ages 14-69. This seasonality progressively faded in older age groups and no seasonality was found in individuals aged 85+, in whom UTIs were most common. UTIs were rare in males but followed a similar seasonal pattern than in females. We show strong evidence of an autumnal seasonality for UTIs in individuals under 70 years of age and a lack of seasonality in the very old. These findings should provide helpful information when interpreting surveillance reports and the results of interventions against UTI.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAnti-Infective Agents, UrinaryDrug PrescriptionsFemaleHumansIncidenceMaleMiddle AgedNitrofurantoinReferral and ConsultationSeasonsTrimethoprimAnti-Infective Agents, UrinaryNitrofurantoinTrimethoprimseasonalityThe Health Improvement NetworkUrinary tract infections (UTIs)

Identifiers

PMID29168442
PMCPMC9134528
OpenAlexW2770870512

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.