Evidence map›Paper›PMID 32940959›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2021

Familial Clustering of Erosive Hand Osteoarthritis in a Large Statewide Cohort.

Nikolas H Kazmers, Huong D Meeks, Kendra A Novak, Zhe Yu, Gail L Fulde, Joy L Thomas, Tyler Barker, Michael J Jurynec

Open access · greenAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Nikolas H KazmersUniversity of Utah, Salt Lake City.
Huong D MeeksUniversity of Utah Health, Salt Lake City.
Kendra A NovakUniversity of Utah, Salt Lake City.
Zhe YuUniversity of Utah Health, Salt Lake City.
Gail L FuldeIntermountain Healthcare, St. George, Utah.
Joy L ThomasIntermountain Healthcare, St. George, Utah.
Tyler BarkerIntermountain Healthcare, Precision Genomics, Murray, Utah, and University of Utah, Salt Lake City.
Michael J JurynecUniversity of Utah, Salt Lake City.ORCID 0000-0003-2702-9164
University of Utah · USIntermountain Healthcare · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
NCATS NIH HHS UL1 TR002538NCRR NIH HHS R01 RR021746
6 · The paper itself

Abstract

objectiveErosive hand osteoarthritis (OA) is a severe and rapidly progressing subset of hand OA. Its etiology remains largely unknown, which has hindered development of successful treatments. This study was undertaken to test the hypothesis that erosive hand OA demonstrates familial clustering in a large statewide population linked to genealogical records, and to determine the association of potential risk factors with erosive hand OA.

methodsPatients diagnosed as having erosive hand OA were identified by searching 4,741,840 unique medical records from a comprehensive statewide database, the Utah Population Database (UPDB). Affected individuals were mapped to pedigrees to identify high-risk families with excess clustering of erosive hand OA as defined by a familial standardized incidence ratio (FSIR) of ≥2.0. The magnitude of familial risk of erosive hand OA in related individuals was calculated using Cox regression models. Association of potential erosive hand OA risk factors was analyzed using multivariate conditional logistic regression and logistic regression models.

resultsWe identified 703 affected individuals linked to 240 unrelated high-risk pedigrees with excess clustering of erosive hand OA (FSIR ≥2.0, P < 0.05). The relative risk of developing erosive hand OA was significantly elevated in first-degree relatives (P < 0.001). There were significant associations between a diagnosis of erosive hand OA and age, sex, diabetes, and obesity (all P < 0.05).

conclusionFamilial clustering of erosive hand OA observed in a statewide database indicates a potential genetic contribution to the etiology of the disease. Age, sex, diabetes, and obesity are risk factors for erosive hand OA. Identification of causal gene variants in these high-risk families may provide insight into the genes and pathways that contribute to erosive hand OA onset and progression.

Indexed as

PedigreeAdolescentAdultAgedAged, 80 and overChildCluster AnalysisCohort StudiesDatabases, FactualFemaleFinger JointHand JointsHumansIncidenceMaleMiddle Aged

Identifiers

PMID32940959
PMCPMC7914133
OpenAlexW3085315342

What OpenQuestion holds

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Registered trials

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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.