Evidence map›Paper›PMID 23728704›Full record

ReviewJournal of neural transmission (Vienna, Austria : 1996)2013

Multiple sclerosis documentation system (MSDS): moving from documentation to management of MS patients.

Tjalf Ziemssen, Raimar Kempcke, Marco Eulitz, Lars Großmann, Alexander Suhrbier, Katja Thomas, Thorsten Schultheiss

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neural transmission (Vienna, Austria : 1996), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tjalf ZiemssenMS Center Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany. Tjalf.Ziemssen@uniklinikum-dresden.de
Raimar Kempcke
Marco Eulitz
Lars Großmann
Alexander Suhrbier
Katja Thomas
Thorsten Schultheiss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long disease duration of multiple sclerosis and the increasing therapeutic options require a individualized therapeutic approach which should be carefully documented over years of observation. To switch from MS documentation to an innovative MS management, new computer- and internet-based tools could be implemented as we could demonstrate with the novel computer-based patient management system "multiple sclerosis management system 3D" (MSDS 3D). MSDS 3D allows documentation and management of visit schedules and mandatory examinations via defined study modules by integration of data input from various sources (patients, attending physicians and MS nurses). It provides forms for the documentation of patient visits as well as clinical and diagnostic findings. Information can be collected via interactive touch screens. Specific modules allow the management of highly efficacious treatments as natalizumab or fingolimod. MSDS can be used to transfer the documented data to databases as, e.g. the registry of the German MS society or REGIMS. MSDS has already been implemented successfully in clinical practice and is currently being evaluated in a multicenter setting. High-quality management and documentation are crucial for improvements in clinical practice and research work.

Indexed as

DocumentationDatabases, FactualHumansMultiple Sclerosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.