Supplementary file 2_Clinical characteristics, diagnosis, treatment, and prognosis of ritu

A dataset of 39 patient cases from 30 articles synthesizing published reports on Rituximab-Induced Serum Sickness (RISS). It was compiled by author Yi Huang via a systematic literature search up to November 2025 and published on figshare in April 2026. The data includes patient demographics, clinical presentation, lab findings, treatment, and outcomes.

Use Cases

• Characterizing the typical clinical triad (fever, rash, arthralgia) and lab abnormalities (elevated ESR/CRP, hypocomplementemia) of RISS based on the aggregated case descriptions.
• Analyzing treatment response and recovery timelines based on reported use of corticosteroids and median recovery time of 3.0 days.
• Assessing rechallenge risk based on the reported 60% recurrence rate in 10 patients.
• Profiling patient demographics and underlying disease indications based on the median age of 33 years and common conditions like multiple sclerosis and nephrotic syndrome.

Strengths

• Data is derived from a systematic review of 30 articles, providing a synthesized view of a rare condition.
• Includes specific clinical statistics: median symptom onset at 7 days, 92.3% arthralgia, 82.1% complete recovery.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (11.5 KB), reflecting the rarity of the condition but limiting analytical scope.

Provenance

Source

figshare, authored by Yi Huang.

Collection Method

Retrospective analysis via systematic literature search of PubMed, EMBASE, Web of Science, WanFang Data, and CNKI.

Time Range

Case reports published up to November 2025.

Freshness

Last updated 2026-04 13 05:47:23; freshness should be verified.

Geography

Global, as the literature search included international and Chinese databases.