Evidence map›Paper›PMID 30778708›Full record

ArticleJournal of neurology2019

Multi-database study of multiple sclerosis: identification, validation and description of MS patients in two countries.

Rebecca Persson, Sally Lee, Marianne Ulcickas Yood, Michael Wagner, Neil Minton, Steve Niemcryk, Anders Lindholm, Amber Evans, Susan Jick

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. High prevalence of comorbidities at diagnosis in immigrants with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2021
    Article
  5. Article
  6. Article
  7. Non-infectious comorbidity in patients with multiple sclerosis: A national cohort study in Sweden.Multiple sclerosis journal - experimental, translational and clinical
    Article
  8. Review
  9. 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

9 authors.

Rebecca PerssonBoston Collaborative Drug Surveillance Program, Lexington, MA, USA.
Sally LeeCelgene Europe Limited, Uxbridge, UK.
Marianne Ulcickas YoodBoston University School of Public Health, Boston, MA, USA.
Michael WagnerDepartment of Neurology, Naval Medical Center Portsmouth, Portsmouth, VA, USA.
Neil MintonCelgene Corporation, Summit, NJ, USA.
Steve NiemcrykCelgene Corporation, Summit, NJ, USA.
Anders LindholmCelgene Corporation, Summit, NJ, USA.
Amber EvansHealth ResearchTx, LLC, Trevose, PA, USA.
Susan JickBoston Collaborative Drug Surveillance Program, Lexington, MA, USA. sjick@bu.edu.ORCID http://orcid.org/0000-0002-2215-1067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the resources and methods used to identify and validate multiple sclerosis (MS) and match non-MS patients in each of the two databases, and to characterize their demographics, comorbidities and concomitant medications.

methodsThis study was conducted in two separate electronic medical databases, the United States Department of Defense (DOD) military health care system and the United Kingdom's Clinical Practice Research Datalink (CPRD) GOLD. We identified patients with a first recorded diagnosis of MS in 2001-2016 (CPRD) or 2004-2017 (DOD) and matched non-MS patients using algorithms appropriate to each database. We describe patient symptoms, comorbidities, and medication use at the time of the MS diagnosis and compared them to the non-MS cohort.

resultsWe identified 8695 patients with MS and 86,934 matched non-MS patients in the DOD database and 6932 patients with MS and 68,526 matched non-MS patients in CPRD GOLD. Most MS patients were female (around 70%) and were diagnosed before age 60 (88%). MS patients had higher prevalence of depression and other psychiatric conditions at MS diagnosis compared to non-MS patients. Epilepsy, fractures and infections were also more common. MS patients had many expected symptoms and treatments documented in their records prior to the MS diagnosis.

conclusionThese results are consistent between the two databases, as well as with previous studies of MS. Future analyses of these patients' experience after MS diagnosis will provide valuable insights into disease and treatment patterns in relation to risk of chronic diseases and mortality.

Indexed as

AdultAgedCohort StudiesComorbidityDatabases, FactualDelivery of Health CareFemaleHumansInternational CooperationMaleMiddle AgedMultiple SclerosisPrevalenceUnited KingdomUnited StatesComorbiditiesMultiple sclerosisPrevalenceValidation

Identifiers

PMID30778708
PMCPMC6469671

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Registered trials

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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.