Evidence map›Paper›PMID 32114602›Full record

ArticleSaudi medical journal2020

Impact of depression and fatigue on relapsing remitting multiple sclerosis in Kingdom of Saudi Arabia.

Foziah J Alshamrani, Mohammed F Almuaigel, Fahd A Alkhamis, Abdullah A Alsulaiman, Noor M AlMohish, Abdullah F Albuhassah, Anwar S AlZahrani, Ashraf A Mahmoud Zaher

Abstract read
In one paragraph

Article in Saudi medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Foziah J AlshamraniDepartment of Neurology, College of Medicine Imam Abdulrahman Bin Faisal University, King Fahad University Hospital, Al Ahsa, Kingdom of Saudi Arabia. E-mail. fshamrani@iau.edu.sa.
Mohammed F Almuaigel
Fahd A Alkhamis
Abdullah A Alsulaiman
Noor M AlMohish
Abdullah F Albuhassah
Anwar S AlZahrani
Ashraf A Mahmoud Zaher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine relationship between fatigue, depression with the registration in multiple sclerosis (MS) society activity, and stress with the risk developing a new attack in patients with Relapsing remitting MS (RRMS) in the Kingdom of Saudi Arabia (KSA).

methodsThis was a cohort retrospective study conducted in the KSA between July 2018 and July 2019 which included a total of 465 RRMS patients. Data were collected during interviews using the Beck Depression Inventory (BDI) and Modified Fatigue Impacts Scale (MFIS). Demographic and clinical data were also collected.

resultsOf 465 participants, 317 expressed psychological stress before the last attack, 67 of whom developed an attack within 4 weeks, and 250 of whom developed an attack after 4 weeks. Significantly lower BDI scores were associated with registration in MS associations (p=0.003, df = 5). Significantly lower MFIS scores were associated with registration in MS associations (p=0.001, df = 5).

conclusionThe majority of RRMS patients have a significant fatigue and depression, and there are significant relationships between registration in the MS society and MFIS and BDI scores where patients who officially registered in MS society have lower score in MFIS and BDI. we recommend regular follow-ups with a psychologist and/or registration with MS societies.

Indexed as

DepressionFatigueCohort StudiesFemaleHumansMaleMultiple Sclerosis, Relapsing-RemittingRegistriesRetrospective StudiesSaudi ArabiaStress, PsychologicalSurveys and Questionnaires

Identifiers

PMID32114602
PMCPMC7841567

What OpenQuestion holds

Textmetadata
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.