Evidence map›Paper›PMID 42422649›Full record

ArticleCureus2026

Prescription Patterns in Rheumatoid Arthritis Patients at a Tertiary Care Hospital: A Prospective Cross-Sectional Study.

Kaushalendra Mani, Sujata Jadhav, Vandana Thorat, Prathmesh Gargate, Sharad Tat

Abstract read
In one paragraph

Article in Cureus, 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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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

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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

5 authors.

Kaushalendra ManiDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Sujata JadhavDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Vandana ThoratDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Prathmesh GargateDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Sharad TatDepartment of Pharmacology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRheumatoid arthritis (RA) is a chronic, debilitating, systemic inflammatory condition seen worldwide. Prescribing medications is one of the most common interventions in RA treatment. Therefore, we aimed to study the prescription pattern for RA patients at our tertiary care center.  Methods: This was a prospective, cross-sectional, descriptive study of 95 RA patients. Data on demographic profile and drug prescriptions were collected from the prescriptions given by consultants and then analyzed.  Results: Most patients were aged 41-60 years (66.3%), and females predominated (61.1%). Common comorbidities included hypertension (21.1%), diabetes (16.8%), and anemia (12.6%). Disease duration was mainly three to five years (55.8%). Nearly half had an education below graduation (49.5%); common occupations were housewives (37.9%) and professionals (32.6%). Disease‑modifying anti‑rheumatic drugs (DMARDs) were the most prescribed class (90.5%), followed by nonsteroidal anti‑inflammatory drugs (NSAIDs; 64.2%) and corticosteroids (51.6%); biologics were limited (8.4%). Three‑drug prescriptions were most common (35.8%). Methotrexate was the predominant DMARD (75.8%), while diclofenac (20.0%) and deflazacort (18.9%) were the most frequently used NSAID and corticosteroid, respectively.  Conclusion: RA predominantly affects middle‑aged females with moderate disease duration and a notable comorbidity burden. Treatment patterns show strong reliance on conventional DMARDs, particularly methotrexate, with adjunct use of NSAIDs and corticosteroids, while biologics remain underused.

Indexed as

deflazacortdiclofenacdmardsmethotrexaterheumatoid arthritis

Identifiers

PMID42422649
PMCPMC13343088

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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 OpenQuestion graph.