Evidence map›Paper›PMID 39569308›Full record

ArticleCureus2024

Influencers of Achievement of Remission and Low Disease Activity in Response to Disease-Modifying Antirheumatic Drugs (DMARDs) in Patients With Rheumatoid Arthritis.

George O Oyoo, Anastasia Guantai, Robert J Moots, Faith Okalebo, George O Osanjo

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

George O OyooDepartment of Clinical Medicine and Therapeutics, University of Nairobi, Nairobi, KEN.
Anastasia GuantaiDepartment of Pharmacology, Clinical Pharmacy and Pharmacy Practice, University of Nairobi, Nairobi, KEN.
Robert J MootsRheumatology, Edge Hill University, Liverpool, GBR.
Faith OkaleboDepartment of Pharmacology, Clinical Pharmacy and Pharmacy Practice, University of Nairobi, Nairobi, KEN.
George O OsanjoDepartment of Pharmacology, Clinical Pharmacy and Pharmacy Practice, University of Nairobi, Nairobi, KEN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this prospective cohort study the objective was to identify the socio-demographic and clinical factors that influence treatment response to disease-modifying antirheumatic drugs (DMARDs) at ambulatory multicenter rheumatology outpatient clinics. The subjects were patients with rheumatoid arthritis satisfying the American College of Rheumatology/European Alliance of Associations for Rheumatology criteria with informed consent. MATERIALS AND

methodsPre-coded data sheets were used to capture socio-demographic and clinical characteristics. Baseline data was collected at time of patient recruitment. Only patients who had complete data at three-month follow-up were included in the study analysis. The study's outcome was achievement of remission or low disease activity. The study used the adherence in chronic disease scale and European Task Force for Patient Evaluation of General Practice tools to evaluate patient adherence and assessments of health care received. Data analysis was carried out using Prism 7 and SPSS. Categorical data were regulated as percentages, while continuous data were regulated as means and standard deviation. Prevalence (at 95% CIs) of various socio-demographic and clinical characteristics were calculated comparisons of socio-demographic characteristics, clinical characteristics between patients into achieved primary/secondary outcomes and those who didn't were carried out using the chi-square statistic (for categorical variables) and independent student T-test (for continuous variables). Logistic regression was performed to estimate the impact of moderator variables on study outcomes and to calculate adjusted odds ratio (OR) with corresponding 95% CI. Throughout analysis α < 0.05 was considered statistically significant.

resultsA total of 206 patients were included. The mean age was 51.2 ± 15.1 years; mostly females (n=188 patients, 91.3%). Majority had attained post-primary education (n=172 patients, 83.5%). Only 74 patients (35.9%) had formal professional employment, while only six patients (3%) paid for healthcare via government-funded/private insurance. At recruitment, nearly half of the included patients had moderate to severe disability. Majority of patients had elevated baseline erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). Most of the patients (90.3%) had a positive rheumatoid factor test at recruitment, while 58% had a positive anti-cyclic citrullinated peptide test. Majority had moderate disease activity. Thirty-three patients were in remission, 9.7% had low disease activity while 12.6% had high disease activity. Majority of patients (94.2%) were on non-steroidal anti-inflammatory drugs, non-biological DMARDs (80.6%) and systemic corticosteroids (54.9%). Mean duration of follow-up was 4.6 months. At follow-up, 37.9% found the system to be acceptable, 63.6% found the system to be problematic. Majority of the patients reported to have been adherent to therapy (high adherence: 7.8%; moderate adherence: 86.9%). The proportion of patients who achieved remission or low disease activity increased significantly at three-month follow-up.

conclusionHaving shorter disease duration, lower unemployment rates, higher income, lower non-adherence rates, having a positive outlook towards the healthcare system, normal CRP baseline, normal ESR baseline, and lower baseline of functional disability were significantly associated with increased chances of low disease activity/remission.

Indexed as

disease activity scorehealth assessment questionnairelow disease activityremissionrheumatoid arthritis

Identifiers

PMID39569308
PMCPMC11576141

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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.