Evidence map›Paper›PMID 35111123›Full record

ArticleFrontiers in neurology2021

Estimating Risk of Multiple Sclerosis Disease Reactivation in Pregnancy and Postpartum: The VIPRiMS Score.

Gabriel Bsteh, Harald Hegen, Katharina Riedl, Patrick Altmann, Franziska Di Pauli, Rainer Ehling, Gudrun Zulehner, Paulus Rommer, Fritz Leutmezer, Florian Deisenhammer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Gabriel BstehDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Harald HegenDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Katharina RiedlDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Patrick AltmannDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Franziska Di PauliDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Rainer EhlingDepartment of Neurology, Clinic for Rehabilitation Münster, Münster, Austria.
Gudrun ZulehnerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Paulus RommerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Fritz LeutmezerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Florian DeisenhammerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATUniversität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence guiding personalized decision-making with respect to disease-modifying therapy (DMT) around pregnancy in relapsing multiple sclerosis (RMS) is lacking.

objectiveTo generate and validate a risk score for disease reactivation intrapartum and postpartum in RMS.

methodsFrom the Vienna Innsbruck MS database (VIMSD), we included 343 pregnancies in patients with RMS. Primary endpoint was disease reactivation. Patients were randomly assigned 2:1 in a generation and validation dataset. A predictive score was calculated using the Cox regression and validated.

resultsIn the generation dataset, occurrence of relapse and type of DMT in the year before conception, DMT washout duration, the Expanded Disability Status Scale (EDSS) at conception, and time until DMT restart postpartum were identified as independent predictors of disease reactivation (

conclusionThe composite Vienna Innsbruck Pregnancy Risk in Multiple Sclerosis (VIPRiMS) score is a valuable clinical tool to support patients and neurologists in anticipating risk and, thus, individualizing treatment decision-making around pregnancy.

Indexed as

activitydisease modifying therapymultiple sclerosispregnancyreactivationrisk

Identifiers

PMID35111123
PMCPMC8801570
OpenAlexW4205863693

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.