Evidence map›Paper›PMID 22390445›Full record

SynthesisAmerican journal of public health2012

Individual participant data meta-analysis of mechanical workplace risk factors and low back pain.

Lauren E Griffith, Harry S Shannon, Richard P Wells, Stephen D Walter, Donald C Cole, Pierre Côté, John Frank, Sheilah Hogg-Johnson, Lacey E Langlois

Abstract readMeta-Analysis
In one paragraph

Synthesis in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Lauren E GriffithDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. griffith@mcmaster.ca
Harry S Shannon
Richard P Wells
Stephen D Walter
Donald C Cole
Pierre Côté
John Frank
Sheilah Hogg-Johnson
Lacey E Langlois

Funding

Canadian Institutes of Health Research FRN-67042Canadian Institutes of Health Research ICH-63069
6 · The paper itself

Abstract

objectivesWe used individual participant data from multiple studies to conduct a comprehensive meta-analysis of mechanical exposures in the workplace and low back pain.

methodsWe conducted a systematic literature search and contacted an author of each study to request their individual participant data. Because outcome definitions and exposure measures were not uniform across studies, we conducted 2 substudies: (1) to identify sets of outcome definitions that could be combined in a meta-analysis and (2) to develop methods to translate mechanical exposure onto a common metric. We used generalized estimating equation regression to analyze the data.

resultsThe odds ratios (ORs) for posture exposures ranged from 1.1 to 2.0. Force exposure ORs ranged from 1.4 to 2.1. The magnitudes of the ORs differed according to the definition of low back pain, and heterogeneity was associated with both study-level and individual-level characteristics.

conclusionsWe found small to moderate ORs for the association of mechanical exposures and low back pain, although the relationships were complex. The presence of individual-level OR modifiers in such an area can be best understood by conducting a meta-analysis of individual participant data.

Indexed as

Mechanical PhenomenaAge FactorsHumansLiftingLow Back PainOccupational DiseasesOccupational HealthOccupationsOdds RatioPostureRisk FactorsSex FactorsWorkplace

Identifiers

PMID22390445
PMCPMC3483985

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.