Evidence map›Paper›PMID 30692848›Full record

ReviewNoro psikiyatri arsivi2018

Evaluating Treatment Decision for Multiple Sclerosis: Real Life and Patient Experiences.

Hüsnü Efendi, Cavit Boz, Rana Karabudak

Erratum issuedAbstract readReview
In one paragraph

Review in Noro psikiyatri arsivi, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hüsnü EfendiDepartment of Neurology, Kocaeli University School of Medicine, Kocaeli, Turkey.
Cavit BozDepartment of Neurology, Technical University, School of Medicine, Trabzon, Turkey.
Rana KarabudakDepartment of Neurology, Hacettepe University, School of Medicine, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are different decision-making models in medicine for treatment decisions. Shared decision-making model is the most appropriate and widely used model for chronic diseases like Multiple Sclerosis (MS). In this model, the decision making process like treatment options is being discussed step by step between patients and physicians. However, increasing treatment options and medication side effects make the decision-making process more difficult for physicians and reveal the need to share wider knowledge with the patient. In this article we evaluate treatment decision making in patients with MS involving real life experiences.

Indexed as

Multiple sclerosisshared decision making modeltreatment decisions

Identifiers

PMID30692848
PMCPMC6278628

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.