Evidence map›Paper›PMID 41557696›Full record

ArticlePloS one2026

Temporal evolution of digital health communication in Rheumatoid Arthritis: A longitudinal NLP analysis of reddit discussions (2018-2024).

Naisarg Patel, Rajesh Sharma, Prakash Lingasamy, Vino Sundararajan, Sajitha Lulu S, Vijayachitra Modhukur

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Naisarg PatelIntegrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0009-0000-6473-9224
Rajesh SharmaSchool of AI and Computer Science, Plaksha University, Punjab, India.
Prakash LingasamyDepartment of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonias.ORCID https://orcid.org/0000-0002-8826-4531
Vino SundararajanIntegrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Sajitha Lulu SIntegrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-3392-4168
Vijayachitra ModhukurDepartment of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonias.ORCID https://orcid.org/0000-0002-7123-9903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune condition characterized by joint pain, fatigue, and reduced quality of life. Although pharmacological interventions, such as non-steroidal anti-inflammatory drugs (NSAIDs) and disease-modifying antirheumatic drugs (DMARDs), address physical symptoms, the psychological and emotional challenges associated with RA are frequently neglected. Social media platforms, particularly Reddit, have emerged as significant venue for patients to share experiences and seek support, a trend that has intensified during the COVID-19 pandemic. This study examined six years (2018-2024) of discussions from the r/rheumatoid and r/rheumatoidarthritis subreddits, encompassing 22,537 posts and 276,209 comments. Natural language processing (NLP) techniques were implemented to analyze sentiment, emotions, discussion topics, drug mentions, and hyperlink-sharing patterns across three phases: pre-COVID, during COVID, and post-COVID. The analysis indicated that comments were predominantly positive, whereas posts exhibited increased negativity following the onset of COVID-19. Fear and sadness were prevalent in posts, while comments frequently conveyed joy, underscoring the community's supportive nature. Topic modeling identified recurring discussions concerning treatment efficacy, mental health, and pandemic-related disruptions. Methotrexate emerged as the most frequently mentioned medication, with notable emotional variation during the pandemic. Hyperlink patterns suggested an increasing reliance on medical and academic sources, reflecting patients' need for reliable information. These findings illustrate how online communities capture evolving patient experiences and unmet needs. Insights from such discussions can inform healthcare providers, policymakers, and public health communicators in developing patient-centered strategies that address both the emotional and informational dimensions of RA care.

Indexed as

Arthritis, RheumatoidCOVID-19Health CommunicationSocial MediaAntirheumatic AgentsDigital HealthDigital MediaHumansLongitudinal StudiesNatural Language ProcessingPandemicsQuality of LifeSARS-CoV-2Antirheumatic Agents

Identifiers

PMID41557696
PMCPMC12818618

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.