Data from capillary electrophoresis analysis of serum from patients with suspected multiple myeloma

SND-ID: 2023-180. Version: 1. DOI: https://doi.org/10.5878/a2aa-kt50

Citation

Creator/Principal investigator(s)

Victoria Rotter Sopasakis - University of Gothenburg, Institute of Biomedicine orcid

Lillemor Mattsson Hultén - University of Gothenburg, Institute of Medicine orcid

Maria Nilsson - Sahlgrenska University Hospital, Region Västra Götaland, Clinical Chemistry

Research principal

University of Gothenburg - Institute of Biomedicine rorId

Description

Numerical data from serum capillary electrophoresis from individuals with suspected multiple myeloma.

Data contains personal data

Yes

Sensitive personal data

Yes

Type of personal data

Sample ID number and date of samples, analysis of serum samples

Code key exists

Yes

Language

Method and outcome

Unit of analysis

Population

For this study we used a total of 67,073 patient serum samples from 34,567 individuals of which 14,626 were positive for M-protein. The average age was 61±21.4 years. The gender distribution was 15,892 men and 18,675 women.

Time Method

Study design

Diagnostic study

Time period(s) investigated

2015 – 2020

Number of individuals/objects

34657

Data format / data structure

Data collection
  • Mode of collection: Measurements and tests
  • Description of the mode of collection: The data was generated by serum protein analysis using the Capillarys 2 Flex Piercing system from SEBIA, Issy-les-Moulineaux, France. The software used was Phoresis (SEBIA, Issy-les-Moulineaux, France).
  • Time period(s) for data collection: 2015 – 2020
  • Data collector: University of Gothenburg
  • Instrument: Capillarys 2 Flex Piercing system from SEBIA, Issy-les-Moulineaux, France (Technical instrument(s)) - Capillary electrophoresis
  • Sample: Serum
  • Source of the data: Biological samples
Geographic coverage

Geographic spread

Geographic location: Västra Götaland County

Administrative information

Responsible department/unit

Institute of Biomedicine

Other research principals

Ethics Review

Swedish Ethical Review Authority - Ref. 2021-03301

Topic and keywords

Research area

Mathematical analysis (Standard för svensk indelning av forskningsämnen 2011)

Computational mathematics (Standard för svensk indelning av forskningsämnen 2011)

Probability theory and statistics (Standard för svensk indelning av forskningsämnen 2011)

Analytical chemistry (Standard för svensk indelning av forskningsämnen 2011)

Medical laboratory and measurements technologies (Standard för svensk indelning av forskningsämnen 2011)

Cancer and oncology (Standard för svensk indelning av forskningsämnen 2011)

Clinical laboratory medicine (Standard för svensk indelning av forskningsämnen 2011)

Medication and treatment (CESSDA Topic Classification)

Signs and symptoms; pathological conditions (CESSDA Topic Classification)

Specific diseases, disorders and medical conditions (CESSDA Topic Classification)

Publications

Versions

Version 1. 2023-09-14

Version 1: 2023-09-14

DOI: https://doi.org/10.5878/a2aa-kt50

Contacts for questions about the data

Lillemor Mattsson Hultén

lillemor.mattsson@wlab.gu.se

Victoria Rotter Sopasakis

victoria.rotter@clinchem.gu.se

Published: 2023-09-14