Evidence map›Paper›PMID 27158223›Full record

ArticleClinical medicine insights. Arthritis and musculoskeletal disorders2016

Genetic Contribution to the Development of Radiographic Knee Osteoarthritis in a Population Presenting with Nonacute Knee Symptoms a Decade Earlier.

Kasper Huétink, Paul van der Voort, Johan L Bloem, Rob G H H Nelissen, Ingrid Meulenbelt

Open access · goldAbstract read
In one paragraph

Article in Clinical medicine insights. Arthritis and musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Association betweenExperimental and therapeutic medicine · 2018
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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

5 authors at 1 institution in 1 country.

Kasper HuétinkDepartment of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands.
Paul van der VoortDepartment of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands.
Johan L BloemDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Rob G H H NelissenDepartment of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands.
Ingrid MeulenbeltDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the contribution of the osteoarthritis (OA) susceptibility genes ASPN, GDF5, DIO2, and the 7q22 region to the development of radiographic knee OA in patients with a mean age of 40.6 ± 7.9 years (standard deviation) and who suffered from nonacute knee complaints a decade earlier. Dose-response associations of four single nucleotide polymorphisms(SNPs) in the susceptibility genes were determined by comparing 36 patients who showed the development of OA on radiographs (Kellgren and Lawrence score ≥1) with 88 patients having normal cartilage with no development of OA on radiographs. Multivariate logistic regression analysis including the variables such as age, gender, body mass index, and reported knee trauma was performed. A dose-response association of DIO2 SNP rs225014: odds ratio (OR) 2.3, 95% confidence interval (CI) 1.1-4.5 (P = 0.019) and GDF5 SNP rs143383: OR 2.0, 95% CI 1.1-3.8 (P = 0.031) was observed with knee OA development. The ASPN and 7q22 SNPs were not associated with OA development.

Indexed as

DIO2GDF5genetic contribution osteoarthritisOA development

Identifiers

PMID27158223
PMCPMC4854216
OpenAlexW2344167961

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.