SynthesisThe British journal of general practice : the journal of the Royal College of General Practitioners2017
Predictive values of referrals for transient ischaemic attack from first-contact health care: a systematic review.
Synthesis in The British journal of general practice : the journal of the Royal College of General Practitioners, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Risk of Ischemic Stroke After Transient Ischemic Attack in Patients Receiving Comprehensive Versus Noncomprehensive Diagnostic Workup: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2025Pooled it
- Article
- Is this a stroke? The profile of patients with suspected acute cerebrovascular accident transferred by ambulance to the Neurology Emergency Department.Postepy psychiatrii neurologii · 2024Article
- Validation of ICD-10 hospital discharge diagnosis codes to identify incident and recurrent ischemic stroke from a US integrated healthcare system.Pharmacoepidemiology and drug safety · 2023Article
- Systematic Review and Meta-Analysis of Diagnostic Agreement in Suspected TIA.Neurology. Clinical practice · 2021Review
- What is the best option to manage the bedside teaching for Neurology Clerkship -- Demonstration, Simulation or WeChat teaching?MedEdPublish (2016) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundOver 150 000 cases of suspected transient ischaemic attack (TIA) are referred to outpatient clinics in England each year. The majority of referrals are made by GPs.
aimThis study aimed to identify how many patients referred to a TIA clinic actually have TIA (that is, calculate the positive predictive value [PPV] of first-contact healthcare referral) and to record the alternative diagnoses in patients without TIA, in order to determine the optimal service model for patients with suspected TIA. DESIGN AND
settingA systematic review of TIA clinic referrals from first-contact health professionals (GPs and emergency department [ED] doctors) was undertaken.
methodFour databases were searched using terms for TIA and diagnostic accuracy. Data on the number of patients referred to a TIA clinic who actually had a TIA (PPVs) were extracted. Frequencies of differential diagnoses were recorded, where reported. Study quality was assessed using the QUADAS-2 tool.
resultsNineteen studies were included and reported sufficient information on referrals from GPs and ED doctors to derive PPVs (
conclusionThis study highlights the variation in prevalence of true vascular events in patients referred to TIA clinics. For patients without a cerebrovascular diagnosis, the high prevalence of conditions that also require specialist investigations and management are an additional burden on a care pathway that is primarily designed to prevent recurrent stroke. Service commissioners need to assess whether the existing outpatient provision is optimal for people with pathologies other than cerebrovascular disease.
Indexed as
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What OpenQuestion holds
Registered trials
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.