Evidence map›Paper›PMID 33027520›Full record

ArticleRheumatology (Oxford, England)2021

Mendelian randomization provides evidence for a causal effect of higher serum IGF-1 concentration on risk of hip and knee osteoarthritis.

April Hartley, Eleanor Sanderson, Lavinia Paternoster, Alexander Teumer, Robert C Kaplan, Jon H Tobias, Celia L Gregson

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 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

7 authors at 3 institutions in 3 countries.

April HartleyMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Eleanor SandersonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Lavinia PaternosterMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Alexander TeumerInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Robert C KaplanDepartment of Epidemiology and Public Health, Albert Einstein College of Medicine, New York, NY, USA.
Jon H TobiasMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Celia L GregsonMusculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
University of Bristol · GBAlbert Einstein College of Medicine · USUniversitätsmedizin Greifswald · DE

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Epidemiology of IGF's and AgingR01AG031890 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KAPLAN, ROBERT C · 2009 to 2012
$2.3M
Epidemiology of IGF and Cardiovascular EventsR01HL075516 · NHLBI · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI KAPLAN, ROBERT C · 2004 to 2005
$1.2M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/2NHLBI NIH HHS R01 HL075516NHLBI NIH HHS R01 HL105756NIA NIH HHS R01 AG031890Versus Arthritis 20000Wellcome Trust
6 · The paper itself

Abstract

objectivesHow insulin-like growth factor-1 (IGF-1) is related to OA is not well understood. We determined relationships between IGF-1 and hospital-diagnosed hand, hip and knee OA in UK Biobank, using Mendelian randomization (MR) to determine causality.

methodsSerum IGF-1 was assessed by chemiluminescent immunoassay. OA was determined using Hospital Episode Statistics. One-sample MR (1SMR) was performed using two-stage least-squares regression, with an unweighted IGF-1 genetic risk score as an instrument. Multivariable MR included BMI as an additional exposure (instrumented by BMI genetic risk score). MR analyses were adjusted for sex, genotyping chip and principal components. We then performed two-sample MR (2SMR) using summary statistics from Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) (IGF-1, N = 30 884) and the recent genome-wide association study meta-analysis (N = 455 221) of UK Biobank and Arthritis Research UK OA Genetics (arcOGEN).

resultsA total of 332 092 adults in UK Biobank had complete data. Their mean (s.d.) age was 56.5 (8.0) years and 54% were female. IGF-1 was observationally related to a reduced odds of hand OA [odds ratio per doubling = 0.87 (95% CI 0.82, 0.93)], and an increased odds of hip OA [1.04 (1.01, 1.07)], but was unrelated to knee OA [0.99 (0.96, 1.01)]. Using 1SMR, we found strong evidence for an increased risk of hip [odds ratio per s.d. increase = 1.57 (1.21, 2.01)] and knee [1.30 (1.07, 1.58)] OA with increasing IGF-1 concentration. By contrast, we found no evidence for a causal effect of IGF-1 concentration on hand OA [0.98 (0.57, 1.70)]. Results were consistent when estimated using 2SMR and in multivariable MR analyses accounting for BMI.

conclusionWe have found evidence that increased serum IGF-1 is causally related to higher risk of hip and knee OA.

Indexed as

BiomarkersFemaleHumansInsulin-Like Growth Factor IMaleMendelian Randomization AnalysisMiddle AgedOsteoarthritis, HipOsteoarthritis, KneeRisk AssessmentUnited KingdomBiomarkersIGF1 protein, humanInsulin-Like Growth Factor IBMIinsulin-like growth factor-1Mendelian randomizationOAUK Biobank

Identifiers

PMID33027520
PMCPMC8023994
OpenAlexW3091816898

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.