Evidence map›Paper›PMID 37859931›Full record

ReviewCureus2023

Comparison of Pharmacological Therapies in Relapse Rates in Patients With Relapsing-Remitting Multiple Sclerosis.

Indu Etta, Ruaa Elballushi, Viktoriia Kolesnyk, Kim P Sia, Sana Rehman, Sehrish Arif, Sania J Moonnumackel, Arun Nair

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Indu EttaDepartment of Internal Medicine, Kakatiya Medical College, Warangal, IND.
Ruaa ElballushiSchool of Medicine, Royal College of Surgeons in Ireland - Medical University of Bahrain, Muharraq, BHR.
Viktoriia KolesnykFirst Faculty of Medicine, Charles University, Prague, CZE.
Kim P SiaSchool of Medicine, Emilio Aguinaldo College, Manila, PHL.
Sana RehmanCollege of Medicine, Fatima Memorial Hospital (FMH) College of Medicine and Dentistry, Lahore, PAK.
Sehrish ArifCollege of Medicine, Fatima Memorial Hospital (FMH) College of Medicine and Dentistry, Lahore, PAK.
Sania J MoonnumackelDepartment of Internal Medicine, Medical City Fort Worth, Fort Worth, USA.
Arun NairDepartment of Pediatrics, Saint Peter's University Hospital, Somerset, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic autoimmune neurological disorder that significantly impacts the central nervous system (CNS), which includes the brain and spinal cord. Approximately 2.8 million individuals are believed to be living with MS worldwide. The management of MS has evolved considerably over the years, offering a multitude of guidelines, diverse treatment options, and different approaches to signs and symptoms. The present systematic literature review serves as a comprehensive analysis of the current therapeutic options for MS. It provides a thorough literature review of Food and Drug Administration (FDA)-approved drugs comparing their various clinical end points while concurrently assessing their risk-benefit ratio. It also provides an extensive review of current guidelines and offers an in-depth examination of the different approaches to MS. Through this multifaceted approach, this paper facilitates easy access to available treatment options and aims to aid healthcare providers in decision-making as well as providing a foundation for future research aimed at enhancing treatment options for MS.

Indexed as

multiple sclerosispharmacotherapyrelapse ratesrelapsing-remitting multiple sclerosistypes of multiple sclerosis

Identifiers

PMID37859931
PMCPMC10583624

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.