Evidence map›Paper›PMID 37525323›Full record

ArticleEuropean journal of neurology2024

Changes in employment status over time in multiple sclerosis following a first episode of central nervous system demyelination, a Markov multistate model study.

Amin Zarghami, Valery Fuh-Ngwa, Suzi B Claflin, Ingrid van der Mei, Anne-Louise Ponsonby, Simon Broadley, Steve Simpson-Yap, Ausimmune/AusLong Investigator Group, Bruce V Taylor

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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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 at 3 institutions in 1 country.

Amin ZarghamiMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-1135-0255
Valery Fuh-NgwaMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Suzi B ClaflinMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-6545-946X
Ingrid van der MeiMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-9009-7472
Anne-Louise PonsonbyThe Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
Simon BroadleyMenzies Health Institute Queensland, Griffith University, Southport, Queensland, Australia.
Steve Simpson-YapMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-6521-3056
Ausimmune/AusLong Investigator Group
Bruce V TaylorMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0003-2807-0070
University of Tasmania · AUGriffith University · AURoyal Children's Hospital · AU

Funding

The National Health and Medical Research Council of Australia 1127819The National Health and Medical Research Council of Australia 224215The National Health and Medical Research Council of Australia APP316901The National Multiple Sclerosis Society of the United States of America RG3364A1/2
6 · The paper itself

Abstract

background and purposeUnderstanding predictors of changes in employment status among people living with multiple sclerosis (MS) can assist health care providers to develop appropriate work retention/rehabilitation programs. We aimed to model longitudinal transitions of employment status in MS and estimate the probabilities of retaining employment status or losing or gaining employment over time in individuals with a first clinical diagnosis of central nervous system demyelination (FCD).

methodsThis prospective cohort study comprised adults (aged 18-59 years) diagnosed with FCD (n = 237) who were followed for more than 11 years. At each review, participants were assigned to one of three states: unemployed, part-time, or full-time employed. A Markov multistate model was used to examine the rate of state-to-state transitions.

resultsAt the time of FCD, participants with full-time employment had an 89% chance of being in the same state over a 1-year period, but this decreased to 42% over the 10-year follow-up period. For unemployed participants, there was a 92% likelihood of remaining unemployed after 1 year, but this probability decreased to 53% over 10 years. Females, those who progressed to clinically definite MS, those with a higher relapse count, and those with a greater level of disability were at increased risk of transitioning to a deteriorated employment state. In addition, those who experienced clinically significant fatigue over the follow-up period were less likely to gain employment after being unemployed.

conclusionsIn our FCD cohort, we found a considerable rate of employment transition during the early years post-diagnosis. Over more than a decade of follow-up post-FCD, we found that females and individuals with a greater disability and a higher relapse count are at higher risk of losing employment.

Indexed as

Multiple SclerosisAdultCentral Nervous SystemEmploymentFemaleHumansProspective StudiesRecurrencedisease progressionemploymentlongitudinal studiesmultiple sclerosisrisk factors

Identifiers

PMID37525323
PMCPMC11235915
OpenAlexW4385442156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.