Observational studyScientific reports2019
Data mining to understand health status preceding traumatic brain injury.
Observational study in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Comorbidity in traumatic brain injury and functional outcomes: a systematic review.European journal of physical and rehabilitation medicine · 2021Pooled it
- Systematic Review of Sex and Gender Effects in Traumatic Brain Injury: Equity in Clinical and Functional Outcomes.Frontiers in neurology · 2021Pooled it
- Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study.Intelligence-based medicine · 2023Article
- Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.Frontiers in nutrition · 2023Article
- Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event.Scientific reports · 2022Article
- Sex-specific analysis of traumatic brain injury events: applying computational and data visualization techniques to inform prevention and management.BMC medical research methodology · 2022Article
- Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.Frontiers in big data · 2022Article
- A Novel Assessment Model Based on Molecular Subtypes of Hypoxia-Related LncRNAs for Prognosis of Bladder Cancer.Frontiers in cell and developmental biology · 2021Article
- Pre-injury health status and excess mortality in persons with traumatic brain injury: A decade-long historical cohort study.Preventive medicine · 2020Article
- Data Mining to Understand How Health Status Preceding Traumatic Brain Injury Affects Functional Outcome: A Population-Based Sex-Stratified Study.Archives of physical medicine and rehabilitation · 2020Article
- A population-based sex-stratified study to understand how health status preceding traumatic brain injury affects direct medical cost.PloS one · 2020Article
- Developing Brain Injury Resource Facilitation for Acquired Brain Injury: Indications and Unmet Needs.The Journal of head trauma rehabilitationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
The use of precision medicine is poised to increase in complex injuries such as traumatic brain injury (TBI), whose multifaceted comorbidities and personal circumstances create significant challenges in the domains of surveillance, management, and environmental mapping. Population-wide health administrative data remains a rather unexplored, but accessible data source for identifying clinical associations and environmental patterns that could lead to a better understanding of TBIs. However, the amount of data structured and coded by the International Classification of Disease poses a challenge to its successful interpretation. The emerging field of data mining can be instrumental in helping to meet the daunting challenges faced by the TBI community. The report outlines novel areas for data mining relevant to TBI, and offers insight into how the above approach can be applied to solve pressing healthcare problems. Future work should focus on confirmatory analyses, which subsequently can guide precision medicine and preventive frameworks.
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.