Evidence map›Paper›PMID 30559972›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Factors associated with time from first-symptoms to diagnosis and treatment initiation of Multiple Sclerosis in Switzerland.

Marco Kaufmann, Jens Kuhle, Milo A Puhan, Christian P Kamm, Andrew Chan, Anke Salmen, Jürg Kesselring, Pasquale Calabrese, Claudio Gobbi, Caroline Pot and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05438693 (Factors Affecting Time Elapsed From First Symptom Till Complete Diagnosis of Multiple Sclerosis, Initiation of Disease Modifying Treatment and Drug Adherence in Upper Egypt), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

NCT05438693 completednot on this map

Factors Affecting Time Elapsed From First Symptom Till Complete Diagnosis of Multiple Sclerosis, Initiation of Disease Modifying Treatment and Drug Adherence in Upper Egypt

TypeobservationalSponsordoaa mokhtar mahmoudRan2020 to 2022Enrolled80ConditionsMultiple Sclerosis, Relapsing-Remitting
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Trial
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  7. Observational
  8. Article
  9. Quantitative TEuropean radiology · 2024
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  10. Review
  11. Diagnostic delay of multiple sclerosis: prevalence, determinants and consequences.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
    Article
  12. Article
  13. Prior optic neuritis detection on peripapillary ring scans using deep learning.Annals of clinical and translational neurology · 2022
    Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. 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

14 authors.

Marco KaufmannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4810-7734
Jens KuhleNeurologic Clinic and Policlinic, University Hospital and University of Basel, Switzerland.
Milo A PuhanEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Christian P KammNeurology and Neurorehabilitation Centre, Luzerner Kantonsspital, Switzerland.
Andrew ChanDepartment of Neurology, University Hospital Bern and University of Bern, Switzerland.
Anke SalmenDepartment of Neurology, University Hospital Bern and University of Bern, Switzerland.
Jürg KesselringDepartment of Neurology and Neurorehabilitation, Rehabilitation Centre Kliniken Valens, Switzerland.
Pasquale CalabreseDivision of Molecular and Cognitive Neuroscience, University of Basel, Switzerland.
Claudio GobbiNeurocentre of Southern Switzerland, Ospedale regionale di Lugano, Switzerland.
Caroline PotDepartment of Clinical Neurosciences, University Hospital of Lausanne, Switzerland.
Nina SteinemannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Stephanie RodgersEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Viktor von WylEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Swiss Multiple Sclerosis Registry (SMSR)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies emphasise the importance of timely diagnosis and early initiation of disease-modifying treatment in the long-term prognosis of multiple sclerosis.

objectivesThe objective of this study was to investigate factors associated with extended time to diagnosis and time to disease-modifying treatment initiation in the Swiss Multiple Sclerosis Registry.

methodsWe used retrospective data (diagnoses 1996-2017) of the survey-based Swiss Multiple Sclerosis Registry and fitted logistic regression models (extended time to diagnosis ≥2 years from first symptoms, extended time to disease-modifying treatment initiation ≥1 year from diagnosis) with demographic and a priori defined variables.

resultsOur study, based on 996 persons with multiple sclerosis, suggests that 40% had an extended time to diagnosis, and extended time to disease-modifying treatment initiation was seen in 23%. Factors associated with extended time to diagnosis were primary progressive multiple sclerosis (odds ratio (OR) 5.09 (3.12-8.49)), diagnosis setting outside of hospital (neurologist (private practice) OR 1.54 (1.16-2.05)) and more uncommon first symptoms (per additional symptom OR 1.17 (1.06-1.30)). Older age at onset (per additional 5 years OR 0.84 (0.78-0.90)) and gait problems (OR 0.65 (0.47-0.89)) or paresthesia (OR 0.72 (0.54-0.95)) as first symptoms were associated with shorter time to diagnosis. Extended time to disease-modifying treatment initiation was associated with older age at diagnosis (per additional 5 years OR 1.18 (1.09-1.29)). In more recent years, time to diagnosis and time to disease-modifying treatment initiation tended to be shorter.

conclusionsEven in recent periods, substantial and partially systematic variation regarding time to diagnosis and time to disease-modifying treatment initiation remains. With the emerging paradigm of early treatment, the residual variation should be monitored carefully.

Indexed as

age of onsetdisease-modifying treatmentlogistic modelsRegistriesretrospective studiestime to diagnosis

Identifiers

PMID30559972
PMCPMC6293378

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Registered trials

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.