Evidence map›Paper›PMID 29270090›Full record

ArticleInternational journal of MS care

Alemtuzumab in Multiple Sclerosis: Lessons from Social Media in Enhancing Patient Care.

Louise Rath, Nirosen Vijiaratnam, Olga Skibina

Open access · bronzeAbstract read
In one paragraph

Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 76% 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

5 citing papers in PubMed, 8 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

3 authors.

Louise Rath
Nirosen Vijiaratnam
Olga Skibina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlemtuzumab is a monoclonal antibody that has been approved for the treatment of relapsing-remitting multiple sclerosis (MS). Alemtuzumab is associated with infusion reactions and potential autoimmune complications. Patient education and understanding are crucial to favorable outcomes. Our objective was to observe communication on a peer-to-peer Facebook group for content, accuracy of posts, and number of "likes" per post and to compare shared themes to current approved prescribing information and educational modules.

methodsWe identified a Facebook group specific to alemtuzumab in MS. A 14-day window was observed. Posts were classified as "sharing" or "seeking information." Content analysis was used for information-seeking posts. Accuracy of replies was compared with product prescribing information.

resultsWe reviewed 458 posts. Members contemplating receiving or currently receiving alemtuzumab primarily used Facebook for information gathering (54.6%), followed by seeking emotional support and sharing personal experiences (45.4%). Most shared experiences (83.6%) were positive. Themes for information were predominantly consistent with standard protocols. Complications discussed included infection (15.50%), bone pain (11.80%), immune thrombocytopenia (8.07%), and fatigue (7.46%). Accuracy of replies was consistent with product information except for immune thrombocytopenia.

conclusionsSome patients with MS look to online groups for discussion, peer support, and information. Although written guidelines on the studied home page reinforce that online discussion "does not replace medical advice," inaccurate information does occur. Health-care providers' reviews of these online sites allow insight into the real-world experiences of patients receiving alemtuzumab, with potential for modification of educational approaches by health-care professionals.

Identifiers

PMID29270090
PMCPMC5734716
OpenAlexW2781027193

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.