Evidence map›Paper›PMID 33637081›Full record

SynthesisBMC musculoskeletal disorders2021

Prevalence of musculoskeletal disorders among perioperative nurses: a systematic review and META-analysis.

Marco Clari, Alessandro Godono, Giacomo Garzaro, Gianluca Voglino, Maria Rosaria Gualano, Giuseppe Migliaretti, Attilia Gullino, Catalina Ciocan, Valerio Dimonte

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
9.1field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 85 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

9 authors at 2 institutions in 1 country.

Marco ClariDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Alessandro GodonoDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Giacomo GarzaroDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy. giacomo.garzaro@unito.it.ORCID http://orcid.org/0000-0001-8657-8142
Gianluca VoglinoDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Maria Rosaria GualanoDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Giuseppe MigliarettiDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Attilia GullinoCittà della Salute e della Scienza di Torino University Hospital, Turin, Italy.
Catalina CiocanDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
Valerio DimonteDepartment of Public Health and Pediatrics, University of Torino, Via Zuretti 29, 10126, Turin, Italy.
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the prevalence of work-related musculoskeletal disorders (WRMSDs) in perioperative nurses and to explore their association with personal characteristics.

methodsMedline, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, Cochrane Library and Joanna Briggs Institute Database were systematically searched. A meta-analysis calculating event rates, and relative 95% Confidence Intervals (CI) was performed for each musculoskeletal body region. The contribution of perioperative nurses' sex, age, and BMI was assessed through a meta-regression.

resultsTwenty-two studies, considering 3590 perioperative nurses, were included in the systematic review. The highest prevalence of WRMSDs was found for the lower-back (62%; 95% CI 0.54-0.70), followed by knee (47%; 95% CI 0.36-0.59), shoulder (44%; 95% CI 0.37-0.51), waist (42%; 95% CI 0.31-0.53), neck (39%; 95% CI 0.29-0.51), ankle-feet (35%; 95% CI 0.22-0.51), upper-back (34%; 95% CI 0.25-0.44), hand-wrist (29%; 95% CI 0.20-0.40), and elbow (18%; 95% CI 0.12-0.26). Meta-regression showed that sex, age, and BMI were not significant predictors of low-back disorders (p = 0.69; R

conclusionsWRMSDs represent a high prevalence issue among perioperative nurses. Perioperative nurses, in general, are steadily exposed to both physical and temporal risk factors. Further studies should be addressed to identify specific interventions aimed at reducing the burden of WRMSDs including ergonomic education and physical rehabilitation. Our data could be used in future studies as a reference to assess the risk of WRMSDs in other health-care professionals' population.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesHumansPrevalenceRisk FactorsUpper ExtremityMeta-analysisMusculoskeletal diseasesOperating rooms: nursesSystematic review

Identifiers

PMID33637081
PMCPMC7908783
OpenAlexW3114622361

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.