Multiple Sclerosis Patient Trajectories from a 1,025-Person Cohort

Longitudinal clinical data from 1,025 multiple sclerosis patients with a median follow-up of 6.75 years, used to discover novel disease progression patterns. The dataset includes 11,048 clinical events from a real-world cohort, analyzed to generate hypotheses about drug effects and relapse associations. Niels Jodts published this data on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Identify latent progressive trajectories based on longitudinal clinical event sequences.
• Test statistical methods for pattern discovery on limited-sample cohorts based on the described 83-patient subset.
• Generate hypotheses for biomarker discovery based on uncovered relationships between diagnostic events.
• Investigate the effect of specific drugs like Alemtuzumab on functional domains based on the reported associations.

Strengths

• Longitudinal data with a median follow-up of 6.75 years for 1,025 patients.
• Analysis includes a specific smaller cohort (n=83) for evaluating method performance on limited samples.
• The study confirmed known associations, such as between relapse activity and brain lesions (p<0.01, RR=1.20).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary data tables is unknown, which may limit suitability assessment.
• The 67.5 KB file size suggests the dataset's scope is limited, likely containing summary or processed data rather than raw records.

Provenance

Source

figshare

Collection Method

Longitudinal clinical data from a real-world cohort of MS patients.

Freshness

Last updated 2026-04-14 04:14:26; freshness should be verified.