ArticleJournal of neurology2021
Saliva RNA biomarkers predict concussion duration and detect symptom recovery: a comparison with balance and cognitive testing.
Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Systematic Review of the Diagnostic and Clinical Utility of Salivary microRNAs in Traumatic Brain Injury (TBI).International journal of molecular sciences · 2022Pooled it
- Salivary Biomarkers as Indicators of TBI Diagnosis and Prognosis: A Systematic Review.Molecular diagnosis & therapy · 2022Pooled it
- Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies.Military Medical Research · 2026Review
- Article
- Advancements in diagnosing Post-concussion Syndrome: insights into epidemiology, pathophysiology, neuropathology, neuroimaging, and salivary biomarkers.Acta neurologica Belgica · 2025Review
- Tailored Anti-miR Decorated Covalent Organic Framework Enables Electrochemical Detection of Salivary miRNAs for Mild Traumatic Brain Injury.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Selecting outcome measures to validate prognostic biomarkers of paediatric mild traumatic brain injury: challenges and priorities.Frontiers in neurology · 2025Article
- Differences in Volatile Organic Compounds Between Concussed and Non-concussed Division I Athletes.Cureus · 2024Article
- Review on the Role of Salivary Biomarkers in the Diagnosis of Mild Traumatic Brain Injury and Post-Concussion Syndrome.Diagnostics (Basel, Switzerland) · 2023Review
- Clinical Trials of Non-Coding RNAs as Diagnostic and Therapeutic Biomarkers for Central Nervous System Injuries.Current neuropharmacology · 2023Article
- Defining Biological Phenotypes of Mild Traumatic Brain Injury Using Saliva MicroRNA Profiles.Journal of neurotrauma · 2022Article
- Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Plasma Micro-RNA Expression.Diagnostics (Basel, Switzerland) · 2022Article
- Salivary miRNA Expression in Children With Persistent Post-concussive Symptoms.Frontiers in public health · 2022Article
- Safeguarding Athletes Against Head Injuries Through Advances in Technology: A Scoping Review of the Uses of Machine Learning in the Management of Sports-Related Concussion.Frontiers in sports and active living · 2022Article
- The performance ceiling: why clinical data is insufficient for precision prognosis in concussion.Frontiers in neurologyArticle
- The Variability of Recovery From Pediatric Concussion Using Multimodal Clinical Definitions.Sports healthObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 8 institutions in 2 countries.
Funding
Abstract
objectiveThe goals of this study were to assess the ability of salivary non-coding RNA (ncRNA) levels to predict post-concussion symptoms lasting ≥ 21 days, and to examine the ability of ncRNAs to identify recovery compared to cognition and balance.
methodsRNA sequencing was performed on 505 saliva samples obtained longitudinally from 112 individuals (8-24-years-old) with mild traumatic brain injury (mTBI). Initial samples were obtained ≤ 14 days post-injury, and follow-up samples were obtained ≥ 21 days post-injury. Computerized balance and cognitive test performance were assessed at initial and follow-up time-points. Machine learning was used to define: (1) a model employing initial ncRNA levels to predict persistent post-concussion symptoms (PPCS) ≥ 21 days post-injury; and (2) a model employing follow-up ncRNA levels to identify symptom recovery. Performance of the models was compared against a validated clinical prediction rule, and balance/cognitive test performance, respectively.
resultsAn algorithm using age and 16 ncRNAs predicted PPCS with greater accuracy than the validated clinical tool and demonstrated additive combined utility (area under the curve (AUC) 0.86; 95% CI 0.84-0.88). Initial balance and cognitive test performance did not differ between PPCS and non-PPCS groups (p > 0.05). Follow-up balance and cognitive test performance identified symptom recovery with similar accuracy to a model using 11 ncRNAs and age. A combined model (ncRNAs, balance, cognition) most accurately identified recovery (AUC 0.86; 95% CI 0.83-0.89).
conclusionsncRNA biomarkers show promise for tracking recovery from mTBI, and for predicting who will have prolonged symptoms. They could provide accurate expectations for recovery, stratify need for intervention, and guide safe return-to-activities.
Indexed as
Identifiers
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.