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Record W2973172730 · doi:10.1002/ejp.1482

Incidence of shoulder pain in 40 years old and over and associated factors: A systematic review

2019· review· en· W2973172730 on OpenAlexaff
Codjo D. Djade, Teegwendé Valérie Porgo, Hervé Tchala Vignon Zomahoun, Gentiane Perrault‐Sullivan, Clermont E. Dionne

Bibliographic record

VenueEuropean Journal of Pain · 2019
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversité LavalHôpital du Saint-Sacrement
Fundersnot available
KeywordsMedicineIncidence (geometry)Cumulative incidencePhysical therapyCohort studyCohortProspective cohort studySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Shoulder pain is one of the most frequent musculoskeletal complaints, and its prevalence and consequences increase with age. However, little is known about the incidence of shoulder pain among aging adults. We conducted this review to estimate the incidence of shoulder pain in ageing adults and its associated factors. DATABASES AND DATA TREATMENT: We conducted a systematic review of cohort studies in which the incidence of shoulder pain and associated factors were explored in adults aged 40 years and over. PubMed, Embase, and Web of Science databases were consulted. RESULTS: We retrieved 3332 studies and included six, of which five were prospective cohort studies and one was retrospective. For adults aged 45-64 years, the annual cumulative incidence was 2.4%. The incidence density was estimated at 17.3 per 1,000 person-years for adults in the 45-64 years age group, at 12.8 per 1000 person-years for those in the 65-74 years group and at 6.7 per 1000 person-years among those aged 75 years and over. Occupational factors, notably physical demands of work, were associated with the incidence of shoulder pain. Non-occupational factors were also linked to the occurrence of shoulder pain. CONCLUSION: Few studies have estimated the incidence of shoulder pain and associated factors among ageing adults. From this systematic review, we conclude that studies on the incidence of shoulder pain are scarce, and that both occupational and non-occupational factors could be associated with the onset of shoulder pain among adults 40 years and over. This very limited evidence calls for more studies on this topic. SIGNIFICANCE: Shoulder pain is one of the most frequent musculoskeletal complaints, and its prevalence and consequences increase with age. However, since the prevalence of a recurring condition is determined by its incidence and the number and duration of episodes, it is important to have valid incidence estimates and to conduct aetiological studies on incidence measures to untangle risk factors of the occurrence of shoulder pain from those affecting the duration and number of episodes . In this systematic review, we sought to estimate the incidence of shoulder pain in ageing adults along with its associated factors. This work could lead to better interventions to prevent shoulder pain in older individuals.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0100.012
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.348
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations62
Published2019
Admission routes1
Has abstractyes

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