ArticleBrain and behavior2024
Effect of mean platelet volume and platelet count on the prognosis of branch atheromatous disease.
Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Periodontitis and Platelets Status: A Systematic Review With Meta-Analysis and Trial Sequential Analysis.Journal of periodontal research · 2025Pooled it
- Predicting early neurological deterioration in acute branch atheromatous disease without reperfusion therapy: a machine learning model.Frontiers in neuroscience · 2026Article
- Effect of mean platelet volume and platelet count on the prognosis of branch atheromatous disease.Brain and behavior · 2024Article
- A machine learning-based predictive model for predicting early neurological deterioration in lenticulostriate atheromatous disease-related infarction.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveThe purpose of this study was to investigate the predictive value of mean platelet volume (MPV) and platelet count (PC) in branch atheromatous disease (BAD).
methodsThis retrospective study included 216 patients with BAD-stroke within 48 h of symptom onset. These patients were divided into good and poor prognosis groups according to their 3-month modified Rankin scale scores after discharge. Multiple logistic regression analysis was used to evaluate independent predictors of poor prognosis in BAD-stroke patients. Receiver-operating characteristic (ROC) analysis was used to estimate the predictive value of MPV and PC on BAD-stroke.
resultsOur research showed that a higher MPV (aOR, 2.926; 95% CI, 2.040-4.196; p < .001) and PC (aOR, 1.013; 95% CI, 1.005-1.020; p = .001) were independently associated with poor prognosis after adjustment for confounders. The ROC analysis of MPV for predicting poor prognosis showed that the sensitivity and specificity were 74% and 84.9%, respectively, and that the AUC was .843 (95% CI, .776-.909, p < .001). The optimal cut-off value was 12.35. The incidence of early neurological deterioration (END) was 24.5% (53 of 163), and 66% of patients in the poor prognosis group had END (33 of 50). Multiple logistic regression analyses showed that elevated MPV and PC were associated with the occurrence of END (p < .05).
conclusionOur results suggested that an elevated MPV and PC may be important in predicting a worse outcome in BAD-stroke patients. Our study also demonstrated an independent association of MPV and PC with END, which is presumably the main reason for the poor prognosis.
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