Evidence map›Paper›PMID 31456464›Full record

Observational studyMultiple sclerosis (Houndmills, Basingstoke, England)2020

How do patients enter the healthcare system after the first onset of multiple sclerosis symptoms? The influence of setting and physician specialty on speed of diagnosis.

Laura Barin, Christian P Kamm, Anke Salmen, Holger Dressel, Pasquale Calabrese, Caroline Pot, Sven Schippling, Claudio Gobbi, Stefanie Müller, Andrew Chan and 8 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Multiple sclerosis (Houndmills, Basingstoke, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

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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

18 authors at 8 institutions in 1 country.

Laura BarinEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-8139-4686
Christian P KammDepartment of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland/Neurology and Neurorehabilitation Centre, Lucerne Cantonal Hospital, Lucerne, Switzerland.
Anke SalmenDepartment of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland.
Holger DresselEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland/Division of Occupational and Environmental Medicine, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
Pasquale CalabreseNeuropsychology and Behavioral Neurology Unit, Division of Molecular and Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
Caroline PotLaboratories of Neuroimmunology, Division of Neurology and Neuroscience Research Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland.
Sven SchipplingNeuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich, Zurich, Switzerland/Center for Neuroscience Zurich, Federal Institute of Technology (ETH), Zurich, Switzerland.
Claudio GobbiNeurocenter of Southern Switzerland, Ospedale regionale di Lugano, Lugano, Switzerland.
Stefanie MüllerDepartment of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Andrew ChanDepartment of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland.
Stephanie RodgersEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Marco KaufmannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4810-7734
Vladeta Ajdacic-GrossEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland/Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
Nina SteinemannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Jürg KesselringDepartment of Neurology and Neurorehabilitation, Rehabilitation Centre Kliniken Valens, Valens, Switzerland.
Milo A PuhanEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Viktor von WylEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Swiss Multiple Sclerosis Registry
University of Zurich · CHUniversity of Bern · CHETH Zurich · CHKantonsspital St. Gallen · CHOspedale regionale di Lugano · CHUniversity of Basel · CHUniversity of Lausanne · CHValens Clinics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosing multiple sclerosis (MS) early is crucial to avoid future disability. However, potentially preventable delays in the diagnostic cascade from contact with a physician to definite diagnosis still occur and their causes are still unclear.

objectiveTo identify the possible causes of delays in the diagnostic process.

methodsWe analyzed the data of the Swiss MS Registry. With logistic regression, we modeled the time from the first contact to the first consultation (contact-to-evaluation time, ⩽1 month/>1 month) and the evaluation-to-diagnosis time (⩽6 months/>6 months). Potential factors were health system characteristics, sociodemographic variables, first symptoms, and MS type.

resultsWe included 522 participants. Mostly, general practitioners (67%) were contacted first, without delaying the diagnosis. In contrast, first symptoms and MS type were the major contributors to delays: gait problems were associated with longer contact-to-evaluation times, depression as a concomitant symptom with longer evaluation-to-diagnosis times, and having primary progressive MS prolonged both phases. In addition, living in mountainous areas was associated with longer contact-to-evaluation times, whereas diagnosis after 2000 was associated with faster diagnoses.

conclusionFor a quicker diagnosis, awareness of MS as a differential diagnosis of gait disorders and the co-occurrence of depression at onset should be raised, and these symptoms should be attentively followed.

Indexed as

Delayed DiagnosisAdultDelivery of Health CareDepressionEarly DiagnosisFemaleGait Disorders, NeurologicHumansMaleMedicineMiddle AgedMultiple SclerosisMultiple Sclerosis, Chronic ProgressivePatient Reported Outcome MeasuresPhysiciansReferral and Consultationdelayed diagnosisepidemiologypatient-reported outcomesRegistriesregression analysistime to diagnosis

Identifiers

PMID31456464
PMCPMC7140343
OpenAlexW2910791596

What OpenQuestion holds

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LicenceCC BY-NC
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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.