Evidence map›Paper›PMID 36137640›Full record

ArticleBMJ open2022

Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records.

Nicola F Reeve, Victoria Best, David Gillespie, Kathryn Hughes, Fiona V Lugg-Widger, Rebecca Cannings-John, Fatemeh Torabi, Mandy Wootton, Ashley Akbari, Haroon Ahmed

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 3 institutions in 1 country.

Nicola F ReeveDivision of Population Medicine, Cardiff University, Cardiff, UK reeven1@cardiff.ac.uk.ORCID 0000-0001-9602-6675
Victoria BestPopulation Data Science, Swansea University Medical School, Swansea, UK.
David GillespieCentre for Trials Research, Cardiff University, Cardiff, UK.ORCID 0000-0002-6934-2928
Kathryn HughesPRIME Centre Wales, Division of Population Medicine, Cardiff University, Cardiff, UK.
Fiona V Lugg-WidgerCentre for Trials Research, Cardiff University, Cardiff, UK.ORCID 0000-0003-0029-9703
Rebecca Cannings-JohnCentre for Trials Research, Cardiff University, Cardiff, UK.ORCID 0000-0001-5235-6517
Fatemeh TorabiPopulation Data Science, Swansea University Medical School, Swansea, UK.
Mandy WoottonSpecialist Antimicrobial Chemotherapy Unit, Public Health Wales, University Hospital of Wales Healthcare NHS Trust, Cardiff, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0003-0814-0801
Haroon AhmedDivision of Population Medicine, Cardiff University, Cardiff, UK.
Cardiff University · GBSwansea University · GBUniversity Hospital of Wales · GB

Funding

British Heart Foundation PG/20/10419
6 · The paper itself

Abstract

introductionThere is increasing interest in the relationship between acute infections and acute cardiovascular events. Most previous research has focused on understanding whether the risk of acute cardiovascular events increases following a respiratory tract infection. The relationship between urinary tract infections (UTIs) and acute cardiovascular events is less well studied. Therefore, the aim of this study is to determine whether there is a causal relationship between UTI and acute myocardial infarction (MI) or stroke. METHODS AND ANALYSIS: We will undertake a self-controlled case series study using linked anonymised general practice, hospital admission and microbiology data held within the Secure Anonymised Information Linkage (SAIL) Databank. Self-controlled case series is a relatively novel study design where individuals act as their own controls, thereby inherently controlling for time-invariant confounders. Only individuals who experience an exposure and outcome of interest are included.We will identify individuals in the SAIL Databank who have a hospital admission record for acute MI or stroke during the study period of 2010-2020. Individuals will need to be aged 30-100 during the study period and be Welsh residents for inclusion. UTI will be identified using general practice, microbiology and hospital admissions data. We will calculate the incidence of MI and stroke in predefined risk periods following an UTI and in 'baseline' periods (without UTI exposure) and use conditional Poisson regression models to derive incidence rate ratios. ETHICS AND DISSEMINATION: Data access, research permissions and approvals have been obtained from the SAIL independent Information Governance Review Panel, project number 0972. Findings will be disseminated through conferences, blogs, social media threads and peer-reviewed journals. Results will be of interest internationally to primary and secondary care clinicians who manage UTIs and may inform future clinical trials of preventative therapy.

Indexed as

Myocardial InfarctionStrokeUrinary Tract InfectionsElectronic Health RecordsHumansMissouriMyocardial infarctionStrokeUrinary tract infections

Identifiers

PMID36137640
PMCPMC9511592
OpenAlexW4296806759

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.