ArticleRheumatology international2011
Patterns of preventive health services in rheumatoid arthritis patients compared to a primary care patient population.
Article in Rheumatology international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Uptake of Preventive Services Among Patients With and Without Multimorbidity.American journal of preventive medicine · 2020Article
- Utilization of Preventive Health Care in Adults and Children With Eczema.American journal of preventive medicine · 2016Article
- Cardiovascular screening in rheumatoid arthritis: a cross-sectional primary care database study.BMC family practice · 2013Article
- Low frequency of primary lipid screening among medicare patients with rheumatoid arthritis.Arthritis and rheumatism · 2011Article
- The delivery of evidence-based preventive care for older Americans with arthritis.Arthritis research & therapy · 2010Article
- Preventive services delivery in patients with chronic illnesses: parallel opportunities rather than competing obligations.Annals of family medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To determine the proportion of rheumatoid arthritis (RA) patients receiving preventive health care according to US Preventive Services Task Force recommendations compared with a community-based population sample, with emphasis on dyslipidemia testing, given the increased risk of cardiovascular disease (CVD) in RA patients. Patients with RA (ICD-9 code 714.0 at ≥2 office visits with a rheumatologist) and a primary care physician (PCP) at the Geisinger Health System (GHS) were identified through electronic health records. The records were searched back from 3/31/08 for the length of time required to satisfy each outcome measure. Percentages were compared with population testing rates using the Pearson Chi-square test. Eight hundred and thirty-one RA patients were compared to 169,476 subjects with a PCP at GHS, stratified by gender and age. Patients with RA were more likely to have had dyslipidemia and osteoporosis testing compared with the general population (86 vs. 75 and 75 vs. 55%, respectively, P < 0.0001 for both). The proportion of RA patients receiving breast and cervical cancer testing was similar to the general population. The majority (79%) of lipid testing was ordered by PCPs. Those RA patients with recommended lipid testing had more traditional CVD factors (hypertension, diabetes, coronary artery disease). RA patients are screened more than the general population for two RA-related co-morbidities, i.e. dyslipidemia and osteoporosis. The RA patients with traditional cardiovascular risk factors are more likely to be tested for dyslipidemia. Further work is warranted to improve testing for modifiable CVD risk factors in this group with multiple co-morbidities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.