Evidence map›Paper›PMID 37297665›Full record

ArticleHealthcare (Basel, Switzerland)2023

Using Twitter Data Analysis to Understand the Perceptions, Beliefs, and Attitudes about Pharmacotherapy Used in Rheumatology: An Observational Study.

Adrian Abbasi-Perez, Miguel Angel Alvarez-Mon, Carolina Donat-Vargas, Miguel A Ortega, Jorge Monserrat, Ana Perez-Gomez, Melchor Alvarez-Mon

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Adrian Abbasi-PerezService of Internal Medicine, Rheumatology and Autoimmune Diseases, University Hospital "Príncipe de Asturias", 28805 Alcala de Henares, Spain.
Miguel Angel Alvarez-MonDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, 28805 Alcala de Henares, Spain.
Carolina Donat-VargasCardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, 17177 Stockholm, Sweden.ORCID 0000-0002-4523-4148
Miguel A OrtegaDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, 28805 Alcala de Henares, Spain.ORCID 0000-0003-2588-1708
Jorge MonserratDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, 28805 Alcala de Henares, Spain.ORCID 0000-0003-1775-4645
Ana Perez-GomezService of Internal Medicine, Rheumatology and Autoimmune Diseases, University Hospital "Príncipe de Asturias", 28805 Alcala de Henares, Spain.
Melchor Alvarez-MonService of Internal Medicine, Rheumatology and Autoimmune Diseases, University Hospital "Príncipe de Asturias", 28805 Alcala de Henares, Spain.ORCID 0000-0003-1309-7510

Funding

FIS PI22/00653
6 · The paper itself

Abstract

Twitter has become an important platform for disseminating information about rheumatology drugs by patients, health professionals, institutions, and other users. The aim of this study was to analyze tweets related to 16 drugs used in rheumatology, including their volume, content, and type of user (patients, patients' relatives, health professionals, health institutions, pharmaceutical industry, general press, scientific journals and patients' associations), and to detect inappropriate medical content. A total of 8829 original tweets were obtained, with a random sample of 25% of the total number of tweets for each drug (at least 100 tweets) analyzed. Methotrexate (MTX) accounted for a quarter of all tweets, and there were significant differences in the proportion of tweets issued according to the type of user. Patients and their relatives mainly tweeted about MTX, while professionals, institutions, and patient associations posted more about TNF inhibitors. In contrast, the pharmaceutical industry focused on IL-17 inhibitors. Medical content prevailed in all drugs except anti-CD20 and IL-1 inhibitors and the most discussed medical topic was efficacy, followed by posology and adverse effects. Inappropriate or fake content was found to be very low. In conclusion, the majority of the tweets were about MTX, which is a first-line treatment for several diseases. The distribution of medical content varied according to the type of user. In contrast to other studies, the amount of medically inappropriate content was very low.

Indexed as

methotrexaterheumatologysocial media

Identifiers

PMID37297665
PMCPMC10252953

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.