Evidence map›Paper›PMID 29629615›Full record

Observational studyThe Journal of orthopaedic and sports physical therapy2018

Optimal Screening for Prediction of Referral and Outcome (OSPRO) for Musculoskeletal Pain Conditions: Results From the Validation Cohort.

Steven Z George, Jason M Beneciuk, Trevor A Lentz, Samuel S Wu, Yunfeng Dai, Joel E Bialosky, Giorgio Zeppieri

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in The Journal of orthopaedic and sports physical therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Changes in Pain-Related Psychological Distress After Surgery in Patients with Musculoskeletal Injury.International journal of environmental research and public health · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Steven Z George
Jason M Beneciuk
Trevor A Lentz
Samuel S Wu
Yunfeng Dai
Joel E Bialosky
Giorgio Zeppieri

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
NCATS NIH HHS UL1 TR001427NICHD NIH HHS K12 HD055929
6 · The paper itself

Abstract

Study Design Observational, prospective cohort. Background Musculoskeletal pain is a common reason to seek health care, and earlier nonpharmacological treatment and enhancement of personalized care options are 2 high-priority areas. Validating concise assessment tools is an important step toward establishing better care pathways. Objectives To determine the predictive validity of Optimal Screening for Prediction of Referral and Outcome (OSPRO) tools for individuals with neck, low back, shoulder, or knee pain. Methods A convenience sample (n = 440) was gathered by Orthopaedic Physical Therapy-Investigator Network clinics (n = 9). Participants completed demographic, clinical, and comorbidity questionnaires and the OSPRO tools, and were followed for 12-month outcomes in pain intensity, region-specific disability, quality of life, and comorbidity change. Analyses predicted these 12-month outcomes with models that included the OSPRO review-of-systems (OSPRO-ROS) and yellow flag (OSPRO-YF) tools and planned covariates (accounting for comorbidities and established demographic and clinical factors). Results The 10-item OSPRO-YF tool (baseline and 4-week change score) consistently added to predictive models for 12-month pain intensity, region-specific disability, and quality of life. The 10-item OSPRO-ROS tool added to a predictive model for quality of life (mental summary score), and 13 additional items of the OSPRO-ROS+ tool added to prediction of 12-month comorbidity change. Other consistent predictors included age, race, income, previous episode of pain in same region, comorbidity number, and baseline measure for the outcome of interest. Conclusion The OSPRO-ROS and OSPRO-YF tools statistically improved prediction of multiple 12-month outcomes. The additional variance explained was small, and future research is necessary to determine whether these tools can be used as measurement adjuncts to improve management of musculoskeletal pain. J Orthop Sports Phys Ther 2018;48(6):460-475. Epub 7 Apr 2018. doi:10.2519/jospt.2018.7811.

Indexed as

Referral and ConsultationAgedDisability EvaluationFemaleHumansMaleMiddle AgedMusculoskeletal PainPain MeasurementProspective StudiesQuality of LifeTreatment OutcomeOSPROoutcomesprognosisred flagyellow flag

Identifiers

PMID29629615
PMCPMC6053060

What OpenQuestion holds

Textmetadata
LicenceTDM
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.