Development of an extension of the OMERACT Summary of Measurement Properties table to capture equity considerations: SOMP-Equity.
AuthorsPetkovic, Jennifer; email: firstname.lastname@example.org
Umaefulam, Valerie; email: email@example.com
Wattiaux, Aimée; email: firstname.lastname@example.org
Bartels, Christie; email: email@example.com
Barnabe, Cheryl; email: firstname.lastname@example.org
Greer-Smith, Regina; email: email@example.com
Hofstetter, Catherine; email: firstname.lastname@example.org
Maxwell, Lara; email: email@example.com
Shea, Beverley; email: firstname.lastname@example.org
Barton, Jennifer; email: email@example.com
Lee, Alex Young Soo; email: firstname.lastname@example.org
Humphreys, Jennifer; email: email@example.com
Beaton, Dorcas; email: firstname.lastname@example.org
Tugwell, Peter; email: email@example.com
MetadataShow full item record
AbstractTo develop an equity extension of the OMERACT Summary of Measurement Properties (SOMP) Table, SOMP Equity to describe whether a patient reported outcome measure (PROM) works well among patients of diverse languages and cultures, education levels, and other population characteristics. We used the PROGRESS-Plus framework to categorize equity characteristics assessed in trials of PROM. PROGRESS refers to Place of residence, Race/ethnicity/culture/language, Occupation, Gender/sex, Religion, Education, Socioeconomic status, and Social Capital, while the 'plus' captures additional characteristics, such as age. We pilot tested our SOMP Equity Extension using the Health Assessment Questionnaire (HAQ) as a prototypical PROM. The SOMP Equity Extension retains the same columns as the original OMERACT SOMP (domain match, feasibility, construct validity, test-retest reliability, longitudinal construct validity, clinical trial discrimination, thresholds of meaning) but uses the PROGRESS-Plus characteristics as rows. We found several examples of studies of the HAQ which had assessed one or more PROGRESS-Plus characteristics. The most commonly reported equity considerations were related to language. OMERACT Equity virtual meeting participants were polled and they indicated that the SOMP Equity Extension is useful for highlighting and tracking equity considerations for OMERACT Core Outcome Measurement Instruments. [Abstract copyright: Copyright © 2021. Published by Elsevier Inc.]
CitationSeminars in arthritis and rheumatism
DescriptionFrom PubMed via Jisc Publications Router
History: received 2021-05-01, revised 2021-09-17, accepted 2021-09-20
Publication status: aheadofprint
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Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?Park, JooYong; email: firstname.lastname@example.org; Choi, Ji-Yeob; email: email@example.com; Choi, Jaesung; email: firstname.lastname@example.org; Chung, Seokang; email: email@example.com; Song, Nan; orcid: 0000-0002-9182-1060; email: firstname.lastname@example.org; Park, Sue K.; orcid: 0000-0001-5002-9707; email: email@example.com; Han, Wonshik; email: firstname.lastname@example.org; Noh, Dong-Young; email: email@example.com; Ahn, Sei-Hyun; email: firstname.lastname@example.org; Lee, Jong Won; email: email@example.com; et al. (MDPI, 2021-05-14)In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10−3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10−4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.
No Difference in Penetrance between Truncating and Missense/Aberrant Splicing Pathogenic Variants in MLH1 and MSH2: A Prospective Lynch Syndrome Database StudyDominguez-Valentin, Mev; orcid: 0000-0001-7856-0057; email: Mev.Dominguez.Valentin@rr-research.no; Plazzer, John-Paul; orcid: 0000-0001-5114-4301; email: firstname.lastname@example.org; Sampson, Julian R.; email: Sampson@cardiff.ac.uk; Engel, Christoph; orcid: 0000-0002-7247-282X; email: email@example.com; Aretz, Stefan; orcid: 0000-0002-5228-1890; email: firstname.lastname@example.org; Jenkins, Mark A.; email: email@example.com; Sunde, Lone; email: firstname.lastname@example.org; Bernstein, Inge; email: email@example.com; Capella, Gabriel; orcid: 0000-0002-4669-7320; email: firstname.lastname@example.org; Balaguer, Francesc; orcid: 0000-0002-0206-0539; email: email@example.com; et al. (MDPI, 2021-06-28)Background. Lynch syndrome is the most common genetic predisposition for hereditary cancer. Carriers of pathogenic changes in mismatch repair (MMR) genes have an increased risk of developing colorectal (CRC), endometrial, ovarian, urinary tract, prostate, and other cancers, depending on which gene is malfunctioning. In Lynch syndrome, differences in cancer incidence (penetrance) according to the gene involved have led to the stratification of cancer surveillance. By contrast, any differences in penetrance determined by the type of pathogenic variant remain unknown. Objective. To determine cumulative incidences of cancer in carriers of truncating and missense or aberrant splicing pathogenic variants of the MLH1 and MSH2 genes. Methods. Carriers of pathogenic variants of MLH1 (path_MLH1) and MSH2 (path_MSH2) genes filed in the Prospective Lynch Syndrome Database (PLSD) were categorized as truncating or missense/aberrant splicing according to the InSiGHT criteria for pathogenicity. Results. Among 5199 carriers, 1045 had missense or aberrant splicing variants, and 3930 had truncating variants. Prospective observation years for the two groups were 8205 and 34,141 years, respectively, after which there were no significant differences in incidences for cancer overall or for colorectal cancer or endometrial cancers separately. Conclusion. Truncating and missense or aberrant splicing pathogenic variants were associated with similar average cumulative incidences of cancer in carriers of path MLH1 and path_MSH2.
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