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Record W2516321749 · doi:10.1007/s11832-016-0767-z

Musculoskeletal disorders among orthopedic pediatric surgeons: An overlooked entity

2016· article· en· W2516321749 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Children s Orthopaedics · 2016
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicineOrthopedic surgeryPhysical therapyEpicondylitisElbowSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Forceful and repetitive maneuvers constitute the majority of pediatric orthopedic surgical tasks, thus subjecting surgeons to the risk of musculoskeletal (MSK) injuries during their years in practice. The aim of this study was to assess the prevalence, characteristics and impact of MSK disorders among pediatric orthopedic surgeons. METHODS: A modified version of the physical discomfort survey was sent to surgeons who were members of the Pediatric Orthopedic Society of North America (POSNA) via e-mail. The collected data were analyzed using descriptive statistics, one-way analysis of variance, and Fisher's exact test. p values of <0.05 were considered statistically significant. RESULTS: Of the 402 respondents, 67 % reported that they had sustained a work-related MSK injury, of which the most common diagnoses were low back pain (28.6 %) and lateral elbow epicondylitis (15.4 %). Among those which reported an injury, 26 % required surgical treatment and 31 % needed time off work as a direct result of their injury. The number of work-related injuries incurred by a surgeon increased significantly with increasing age (p < 0.001), working in a non-academic institute (p < 0.05), working in more than one institute (p < 0.05), and being in active practice for >21 years (p < 0.05). The need to undergo treatment or take time off due to the injury was associated with increased number of injuries (p < 0.001). In addition, surgeons were more likely to require time off work when they were >56 years of age (p < 0.001), had been in practice for >21 years (p < 0.001), required surgical management of their disorder (p < 0.001), and had experienced an exacerbation of a previous disorder (p < 0.001). DISCUSSION AND CONCLUSION: This study is the first of its kind to assess MSK injuries sustained by pediatric orthopedic surgeons. The high incidence of these disorders may place a financial and psychological burden on these surgeons and thus the healthcare system. These results should shed a light on awareness and the need for further studies to prevent and help decrease the incidence of these disorders not only in orthopedic surgeons but also in the surgical population in general.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.252
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it