ArticleNeurology and therapy2026
Data Set Instrument for Epidemiologic Studies of Spinal Cord Injury: Traumatic and Non-traumatic.
Article in Neurology and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSpinal cord injury (SCI), both traumatic and non-traumatic, represents a substantial global health burden, with varying incidence and mortality rates. Despite the availability of multiple data collection tools, there is no standardized, comprehensive instrument addressing the full spectrum of SCI for epidemiologic research. This project introduces a data set for SCI epidemiologic research, developed on the Research Electronic Data Capture (REDCap) platform, to enhance comparability and facilitate data exchange.
methodsThe data set was developed through extensive literature reviews and expert panel consultations. It integrates elements from the National SCI Registry of Iran (NSCIR-IR) for traumatic SCI and the International Spinal Cord Injury Data Sets for non-traumatic SCI. Modifications were made to ensure comprehensive coverage and adaptability for epidemiologic studies. The REDCap platform was utilized for its flow-based data entry design, enhancing usability and relevance.
resultsThe finalized instrument contains 78 variables spanning demographics, injury characteristics, hospitalization data, medical history, interventions, and patient outcomes. It incorporates flow-based logic to streamline data entry and accommodate the specific needs of both traumatic and non-traumatic SCI cases. The data set is available for online use in the REDCap Shared Library.
conclusionThis standardized, modifiable data instrument fills a critical gap in SCI research, enabling consistent data collection for both traumatic and non-traumatic SCI. Its adoption can facilitate comparative analyses and inform healthcare strategies globally.
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Registered trials
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