ReviewNature reviews. Neurology2021
Standardization and digitization of clinical data in multiple sclerosis.
Review in Nature reviews. Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 23 citations in OpenAlex.
- Neurostatus-SMARTCARE clinical trial: Enabling health care professionals to assess EDSS for decentralized trials in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Trial
- Phenotypic Diversity in Multiple Sclerosis Can Be Represented by Four Additive Symptom Modules.Brain sciences · 2026Article
- Virtual medicine: medical AI in human health and diseases.Military Medical Research · 2026Review
- AI-driven reclassification of multiple sclerosis progression.Nature medicine · 2025Article
- De-escalating and discontinuing disease-modifying therapies in multiple sclerosis.Brain : a journal of neurology · 2025Review
- AI-assisted identification of disability patterns within identical EDSS grades.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Medical Digital Twin: A Review on Technical Principles and Clinical Applications.Journal of clinical medicine · 2025Review
- [XVI Post-ECTRIMS Meeting: review of the new developments presented at the 2023 ECTRIMS Congress (II)].Revista de neurologia · 2024Article
- Consensus quality indicators for monitoring multiple sclerosis.The Lancet regional health. Europe · 2024Review
- Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software.Neuroradiology · 2024Article
- Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study.Journal of medical Internet research · 2021Observational
- Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device.Brain sciences · 2021Review
- Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Standardization is necessary to ensure the reliability of clinical data and to enable longitudinal and cross-sectional comparisons of data obtained in different centres and countries. In patients with multiple sclerosis (MS), standardized clinical data are needed for monitoring of disability and for collecting real-world evidence for use in research. This Perspective describes attempts to improve the standardization and digitization of clinical data in MS, including digital electronic health recording systems and applications that attempt to offer a comprehensive assessment of patients' neurological deficits and their effects on daily life. Despite the challenges raised by regulatory, ethical and data-privacy considerations, the standardization and digitization of clinical data in MS is expected to generate new insights into the pathophysiology of the disease and to contribute to personalized patient care.
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.