Evidence map›Paper›PMID 36248277›Full record

ReviewJBMR plus2022

A Guide for Understanding and Designing Mendelian Randomization Studies in the Musculoskeletal Field.

April E Hartley, Grace M Power, Eleanor Sanderson, George Davey Smith

Abstract readReview
In one paragraph

Review in JBMR plus, 2022. 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Chronic low back pain causal risk factors identified by Mendelian randomization: a cross-sectional cohort analysis.The spine journal : official journal of the North American Spine Society · 2025
    Observational
  8. Article
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  11. Article
  12. Article
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  19. Review
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

4 authors.

April E HartleyMRC-Integrative Epidemiology Unit Population Health Sciences, Bristol Medical School Bristol UK.ORCID https://orcid.org/0000-0003-4932-1588
Grace M PowerMRC-Integrative Epidemiology Unit Population Health Sciences, Bristol Medical School Bristol UK.ORCID https://orcid.org/0000-0002-5702-7728
Eleanor SandersonMRC-Integrative Epidemiology Unit Population Health Sciences, Bristol Medical School Bristol UK.ORCID https://orcid.org/0000-0001-5188-5775
George Davey SmithMRC-Integrative Epidemiology Unit Population Health Sciences, Bristol Medical School Bristol UK.ORCID https://orcid.org/0000-0002-1407-8314

Funding

Medical Research Council MC_UU_00011/1
6 · The paper itself

Abstract

Mendelian randomization (MR) is an increasingly popular component of an epidemiologist's toolkit, used to provide evidence of a causal effect of one trait (an exposure, eg, body mass index [BMI]) on an outcome trait or disease (eg, osteoarthritis). Identifying these effects is important for understanding disease etiology and potentially identifying targets for therapeutic intervention. MR uses genetic variants as instrumental variables for the exposure, which should not be influenced by the outcome or confounding variables, overcoming key limitations of traditional epidemiological analyses. For MR to generate a valid estimate of effect, key assumptions must be met. In recent years, there has been a rapid rise in MR methods that aim to test, or are robust to violations of, these assumptions. In this review, we provide an overview of MR for a non-expert audience, including an explanation of these key assumptions and how they are often tested, to aid a better reading and understanding of the MR literature. We highlight some of these new methods and how they can be useful for specific methodological challenges in the musculoskeletal field, including for conditions or traits that share underlying biological pathways, such as bone and joint disease. © 2022 The Authors.

Indexed as

CAUSAL INFERENCEEPIDEMIOLOGYGENETIC EPIDEMIOLOGYMENDELIAN RANDOMIZATIONSTATISTICAL METHODS

Identifiers

PMID36248277
PMCPMC9549705

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.