Observational studyThe Journal of manual & manipulative therapy2024
Development of a diagnostic support tool for predicting cervical arterial dissection in primary care.
Observational study in The Journal of manual & manipulative therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The effects of mobilization and manipulation on mortality and structure, function and inflammatory markers in cervical blood vessels: a systematic review and meta-analysis of studies in healthy animals and animals with pre-existing vascular pathology.Frontiers in cardiovascular medicine · 2025Pooled it
- Preliminary accuracy, inter- and intra-rater reliability of a 4-point cervical artery dissection diagnostic decision support tool in an ambulatory setting using real and simulated cases: a quality improvement project.Chiropractic & manual therapies · 2026Article
- Systemic lupus erythematosus is associated with an increased risk of cervical artery dissection.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesCervical arterial dissection (CAD) is an important cause of stroke in young people which may be missed because early features may mimic migraine or a musculoskeletal presentation. The study aimed to develop a diagnostic support tool for early identification of CAD.
designRetrospective observational study.
settingTertiary hospital.
participantsRadiologically confirmed CAD cases (
main outcome measuresThe presence of CAD is confirmed with imaging. Predictive variables included risk factors and clinical characteristics of CAD. Variables with a p-value <0.2 included in a multivariable model. Predictive utility of the model is assessed by calculating area underthe ROC curve (AUC).
resultsThe model including four variables: age 40-55 years (vs < 40), trauma, recent onset headache, and > 2 neurological features, demonstrated excellent discrimination: AUC of 0.953 (95% CI: 0.916, 0.987). A predictive scoring system (total score/7) identified an optimal threshold of ≥ 3 points, with a sensitivity of 87% and specificity of 79%.
conclusionsThe study identified a diagnostic support tool with four variables to predict increased risk of CAD. Validation in a clinical sample is needed to confirm variables and refine descriptors to enable clinicians to efficiently apply the tool.Optimum cutoff scores of ≥ 3/7 points will help identify those in whom CAD should be considered and further investigation instigated. The potential impact of the tool is to improve early recognition of CAD in those with acute headache or neck pain, thereby facilitating more timely medical intervention, preventing inappropriate treatment, and improving patient outcomes.Wordcount: 3195.
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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.