Evidence map›Paper›PMID 31762706›Full record

ReviewMateria socio-medica2019

Evidence- based Management Options for Nonspecific Musculoskeletal Pain in Schoolchildren.

Nurka Pranjic, Selma Azabagic

Abstract readReview
In one paragraph

Review in Materia socio-medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 87% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Prevalence of Musculoskeletal Disorders among General and Technical Secondary School Students in Egypt.International journal of environmental research and public health · 2023
    Article
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

2 authors at 1 institution in 1 country.

Nurka PranjicDepartment of Occupational Medicine, Medical school University of Tuzla, Tuzla, Bosnia and Herzegovina.
Selma AzabagicInstitute of Public Health of Tuzla Canton, Tuzla, Bosnia and Herzegovina.
University of Tuzla · BA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildren of school age (8-15 years) have a significant prevalence of non-specific musculoskeletal pain (from 11 to 38%, in our country as much as 48%), which represents a neglected public health problem without adequate preventive interventions. Health workers have little empirical evidence to support their clinical practice in deciding on intervention measures and treating this pain.

aimThe aim of this review article is to expand knowledge of the management of nonspecific musculoskeletal pain in school children based on the evidence. MATERIAL AND

methodsThe systematic review of literature was carried out at Biomed Central, PubMed, Scopus and Web of Science databases in search of relevant evidence supporting the research goal.

resultsA total of 564 publications were reviewed and 523 were considered irrelevant. The remaining 47 publications were assessed as potentially relevant, and among them 39 did not meet the criteria for inclusion and exclusion. Therefore, 9 publications met the necessary criteria for further analysis.

conclusionThere is little evidence to create an integrative program of intervention measures and treatment of musculoskeletal pain in school children. Based on scarce number of proofs shown in this research, no conclusive solutions have been reached, necessitating a need for further research.

Indexed as

evidence-based medicineinterventionsnon-specific musculoskeletal painschool-age childrentreatment

Identifiers

PMID31762706
PMCPMC6853752
OpenAlexW2976197216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.