ReviewSpinal cord2026
The Guttmann Lecture 2025: standardization of data collection in individuals with spinal cord injury.
Review in Spinal cord, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designReview.
objectivesTo describe the development of standardized data related to individuals with spinal cord injury (SCI). These are needed to compare and share data across centres, countries, and studies, to improve prevention and treatment.
settingInternational.
methodsThe SCI community works to obtain consensus regarding the best available data and measures for use in clinical practice and research. Data elements are continuously developed and updated. Efforts are made to ensure that the variables and elements are as universal as possible, not least by involving individuals from diverse regions of the world in their development and review. Including people with lived experience helps ensure data are relevant and enhances quality of life.
resultsThe first standardisation to gain international impact was the Frankel Classification, which was developed into the International Standards for Neurological Classification of SCI. Similarly, the Spinal Cord Independence Measure for Activities of Daily Living for individuals with SCI was developed. The International SCI Data Sets have been developed across many areas relevant for individuals with SCI including the SCI Core Data Set, 24 SCI Basic, and five SCI Extended Data Sets. These international data elements/measurements are included as part of SCI registries and electronic medical records worldwide. Big Data perspectives are needed, requiring multi-modal data and open science and data to be FAIR (Findable, Accessible, Interoperable and Reusable). Artificial intelligence requires data to be interoperable so data can be exchanged.
conclusionThis work will hopefully identify new associations and new possibilities for prevention and treatment.
Indexed as
Identifiers
41402466What 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.