Evidence map›Paper›PMID 37481532›Full record

ArticleBMC musculoskeletal disorders2023

Prevalence of diagnosable depression in patients awaiting orthopaedic specialist consultation: a cross-sectional analysis.

Rhiannon K Patten, Alev Asilioglu, Itamar Levinger, Alexander Tacey, Michaela Pascoe, Phong Tran, Michael J McKenna, Catherine M Said, Natali Coric, Mary De Gori and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Connecting the dots: sex, depression, and musculoskeletal health.The Journal of clinical investigation · 2024
    Review
  5. 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

14 authors at 3 institutions in 1 country.

Rhiannon K PattenInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Alev AsiliogluInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Itamar LevingerInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Alexander TaceyInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Michaela PascoeInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Phong TranInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Michael J McKennaInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Catherine M SaidAustralian Institute for Musculoskeletal Science (AIMSS), Victoria University, University of Melbourne and Western Health, Melbourne, Australia.
Natali CoricDepartment of Orthopaedic Surgery, Western Health, Melbourne, Australia.
Mary De GoriPhysiotherapy, Western Health, Melbourne, Australia.
Rebecca LaneInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Vasso ApostolopoulosInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Mary N WoessnerInstitute for Health and Sport, Victoria University, Melbourne, Australia. mary.woessner@vu.edu.au.
Alexandra ParkerInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Victoria University · AUThe University of Melbourne · AUWestern Health · AU

Funding

Victorian Higher Education State Investment Fund None
6 · The paper itself

Abstract

backgroundMusculoskeletal conditions, including osteoarthritis (OA), are a leading cause of disability and chronic pain, and are associated with high rates of comorbid depression. However, signs of depression are often masked by pain. The aim of this study was to determine the prevalence and severity of depression and pain in individuals awaiting specialist orthopaedic consultation. A secondary objective was to determine the relationship between pain and depression, irrespective of demographic factors and clinical diagnosis.

methodsCross-sectional analysis of individuals awaiting orthopaedic consultation at a public hospital in Melbourne, Australia. Relevant data were extracted from medical records and questionnaires. Descriptive statistics were used to summarise participant characteristics. The patient health questionnaire (PHQ-9) was used to assess depression and a numerical rating scale (NRS) was used to assess pain severity. Multiple linear regression analyses were used to establish the relationship between pain and depression.

resultsNine hundred and eighty-six adults (mean ± standard deviation, age = 54.1 ± 15.7 years, 53.2% women) participated in the study. OA was present in 56% of the population and 34% of the entire population had moderate depression or greater, 19% of which met the criteria for major depressive disorder. Moderate-to-severe pain was present in 79% of individuals with OA and 55% of individuals with other musculoskeletal complaints. Pain was significantly associated with depression scores (β = 0.84, adjusted R

conclusionsDepression affects one-third of individuals on an orthopaedic waitlist. A strong link between pain and depression in patients awaiting specialist orthopaedic consultation exists, indicating a need for an integrated approach in addressing pain management and depression to manage this complex and comorbid presentation.

Indexed as

Chronic PainMajor Depressive DisorderOrthopedicsAdultAgedCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPrevalenceDepressionMusculoskeletalOrthopaedicOsteoarthritisPainSpecialist careWaitlist

Identifiers

PMID37481532
PMCPMC10362723
OpenAlexW4385075182

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.