Evidence map›Paper›PMID 30621312›Full record

SynthesisInternational journal of environmental research and public health2019

Quantitative Measures of Physical Risk Factors Associated with Work-Related Musculoskeletal Disorders of the Elbow: A Systematic Review.

David H Seidel, Dirk M Ditchen, Ulrike M Hoehne-Hückstädt, Monika A Rieger, Benjamin Steinhilber

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  7. Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study.International journal of environmental research and public health · 2022
    Article
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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 2 institutions in 1 country.

David H SeidelUniversity Hospital Tuebingen, Institute of Occupational and Social Medicine and Health Services Research (IASV), 72074 Tuebingen, Germany. david-henry.seidel@student.uni-tuebingen.de.ORCID 0000-0002-1898-0700
Dirk M DitchenInstitute for Occupational Safety and Health of the German Social Accident Insurance (IFA), Unit Ergonomics, Referat Ergonomie, 53757 Sankt Augustin, Germany. Dirk.Ditchen@dguv.de.
Ulrike M Hoehne-HückstädtInstitute for Occupational Safety and Health of the German Social Accident Insurance (IFA), Unit Ergonomics, Referat Ergonomie, 53757 Sankt Augustin, Germany. ulrike.hh63@gmail.com.
Monika A RiegerUniversity Hospital Tuebingen, Institute of Occupational and Social Medicine and Health Services Research (IASV), 72074 Tuebingen, Germany. Monika.Rieger@med.uni-tuebingen.de.ORCID 0000-0002-7855-3663
Benjamin SteinhilberUniversity Hospital Tuebingen, Institute of Occupational and Social Medicine and Health Services Research (IASV), 72074 Tuebingen, Germany. Benjamin.Steinhilber@med.uni-tuebingen.de.
Institut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWork-related musculoskeletal disorders at the elbow are a common health problem, which highly impacts workers' well-being and performance. Besides existing qualitative information, there is a clear lack of quantitative information of physical risk factors associated with specific disorders at the elbow (SDEs).

objectiveTo provide evidence-based quantitative measures of physical risk factors associated with SDEs.

methodsStudies were searched from 2007 to 2017 in Medline, EMBASE, and Cochrane Work. The identified risk factors were grouped in main- and sub-categories of exposure using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework for rating evidence.

results133 different risk-factor specifications were identified in 10/524 articles and were grouped into 5 main- and 16 sub-categories of exposure. The risk factors were significantly associated with lateral epicondylitis, medial epicondylitis, or ulnar neuropathy. Significant risk factors such as wrist angular velocity (5°/s, with increasing prevalence ratio of 0.10%/(°/s), or forearm supination (≥45° and ≥5% of time combined with forceful lifting) were found.

conclusionsThis review delivers a categorization of work-related physical risk-factor specifications for SDEs with a special focus on quantitative measures, ranked for evidence. These results may build the base for developing risk assessment methods and prospective preventive measures.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesElbow JointHumansJoint DiseasesProspective StudiesRisk Factorselbow disordersepicondylitisforcephysical risk factorsposturequantitative measuresrepetitionulnar neuropathywork-related

Identifiers

PMID30621312
PMCPMC6339038
OpenAlexW2906846384

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.