Evidence map›Paper›PMID 39105293›Full record

ArticleACR open rheumatology2024

Economic and Humanistic Burden of Rheumatoid Arthritis: Results From the US National Survey Data 2018-2020.

Yinan Huang, Jieni Li, Sandeep Krishna Agarwal

Abstract read
In one paragraph

Article in ACR open rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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.

Yinan HuangSchool of Pharmacy, University of Mississippi, University, Mississippi.ORCID https://orcid.org/0009-0008-8107-8606
Jieni LiCollege of Pharmacy, University of Houston, Houston, Texas.ORCID https://orcid.org/0000-0002-8386-4116
Sandeep Krishna AgarwalBaylor College of Medicine, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur objective was to estimate the economic and humanistic burden among US adults with rheumatoid arthritis (RA).

methodsThis study analyzed results from the Medical Expenditure Panel Survey from 2018 to 2020. Adults (aged ≥18 years) self-reporting with RA or with the presence of the International Classification of Disease, 10th Revision clinical modification codes were identified. Healthcare expenditures (inpatient care, outpatient care, emergency department, office visits, prescription medications, home health, and others) were measured. The Short Form 12 Health Survey physical component summary (PCS), mental component summary (MCS), activities of daily living (ADL), and instrumental ADL (IADL) were measured. Two-part models assessed the incremental increase in the health care expenditures for the RA group compared to the non-RA group. In addition, the multivariable linear regression was used to evaluate the marginal difference in PCS and MCS between those with RA and those without RA, whereas the multivariable logistic regression models were used to evaluate the association between ADL and IADL by RA status.

resultsAnnually, 4.27 million adults with RA were identified. The two-part model showed significantly higher total annual healthcare expenditures in the RA group than non-RA group (mean $3,382.971 [95% confidence interval (CI) $1,816.50-$4,949.44]). Compared to the non-RA group, the RA group was associated with lower PCS scores (mean 4.78 [95% CI 3.47-6.09]) and similarly lower MCS scores (mean -0.84 [95% CI -2.18 to 0.50]), as well as increased odds of requesting ADL (adjusted odds ratio [aOR] 2.02 [95% CI 1.59-2.56]) and IADL assistance (aOR 2.11 [95% CI 1.57-2.84]).

conclusionRA was associated with higher health care expenditures, particularly prescription medication costs, and was associated with suboptimal quality of life.

Identifiers

PMID39105293
PMCPMC11557984

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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.