Evidence map›Paper›PMID 33755664›Full record

ArticlePloS one2021

Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma.

David M Walton, James M Elliott, Joshua Lee, Mohamad Fakhereddin, Wonjin Seo

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06016647 (Precision Multi-Axis Pain Assessment of Injured Workers to Improve Treatment and Work Outcomes), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

NCT06016647 unknown statusnot on this mapstarted 2023, after this paper: background citation

Precision Multi-Axis Pain Assessment of Injured Workers to Improve Treatment and Work Outcomes

TypeobservationalSponsorDave WaltonRan2023 to 2025Enrolled350ConditionsMusculoskeletal Injury, Musculoskeletal Strain, Low Back Pain, Neck PainArmsMusculoskeletal-specific WSIB programs of care
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Biopsychosocial sequelae and recovery trajectories from whiplash injury following a motor vehicle collision.The spine journal : official journal of the North American Spine Society · 2023
    Article
  3. Observational
  4. 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

5 authors at 2 institutions in 2 countries.

David M WaltonSchool of Physical Therapy, Faculty of Health Sciences, Western University, London, Canada.
James M ElliottNorthern Sydney Local Health District & Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-8890-6012
Joshua LeeSchool of Physical Therapy, Faculty of Health Sciences, Western University, London, Canada.
Mohamad FakhereddinSchool of Physical Therapy, Faculty of Health Sciences, Western University, London, Canada.ORCID 0000-0002-5080-212X
Wonjin SeoSchool of Physical Therapy, Faculty of Health Sciences, Western University, London, Canada.
Western University · CAThe University of Sydney · AU

Funding

CIHR
6 · The paper itself

Abstract

objectiveThe Traumatic Injuries Distress Scale (TIDS) is a 12-item self-report tool intended for prognostic risk phenotyping in people with acute musculoskeletal (MSK) trauma. The initial validation study showed good associations with outcomes 12 weeks later in a cohort of 72 acutely injured patients from one region in Canada. This study aims to provide further clinical utility through identification of meaningful cut scores in a larger, mixed geography sample, and expands the prediction window from 12 to 52 weeks.

methodsData were drawn from databanks in London, Canada and Chicago, United States. Participants were recruited within 3 weeks of non-catastrophic MSK trauma and followed for 12 months. Using outcomes trajectories, the TIDS underwent linear regression-based analysis to predict 52-week outcomes, and area under the receiver operating characteristic curves to identify discriminative accuracy and meaningful cut scores.

resultsN = 224 participants with acute trauma were followed and both %Interference and Pain Severity were captured at intake and 3 follow-ups to establish curvilinear recovery trajectories. The TIDS explained significant variance in both the interference and severity outcomes after controlling for sex, region of injury, and baseline scores. ROC analysis revealed significant discriminative accuracy for predicting both the trajectories and the distal outcomes over 52 weeks. The TIDS was more accurate for identifying the low-risk than high-risk patients.

conclusionThe TIDS is a useful tool for 'ruling out' high risk of poor outcome in a mixed sample of participants from two different countries. IMPACT STATEMENT: The TIDS will be a useful tool for clinicians to predict the rate of recovery by displaying meaningful cut-scores for their patients after an acute musculoskeletal injury. This could lead to reduced burden of care for low risk patients and more informed treatment options for higher risk patients.

Indexed as

Trauma Severity IndicesAdolescentAdultAgedCanadaChicagoCohort StudiesFemaleHumansMaleMiddle AgedPain MeasurementWounds and InjuriesYoung Adult

Identifiers

PMID33755664
PMCPMC7987158
OpenAlexW3136799124

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.