Evidence map›Paper›PMID 37689646›Full record

ArticleBMC musculoskeletal disorders2023

Classifying patients with non-specific chronic low back pain using the impact stratification score in an online convenience sample.

Anthony Rodriguez, Patricia M Herman, Mary E Slaughter, Maria Orlando Edelen, Ron D Hays

Open access · goldAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Longitudinal validation of the PROMIS-16 in a sample of adults in the United States with back pain.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    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 1 country.

Anthony RodriguezRAND Corporation, Behavioral and Policy Sciences, 20 Park Plaza #920, Boston, MA, 02116, USA. anthonyr@rand.org.
Patricia M HermanRAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA, USA.
Mary E SlaughterRAND Corporation, Economics, Sociology, and Statistics, 4570 Fifth Ave #600, Pittsburgh, PA, USA.
Maria Orlando EdelenRAND Corporation, Behavioral and Policy Sciences, 20 Park Plaza #920, Boston, MA, 02116, USA.
Ron D HaysDivision of General Internal Medicine & Health Services Research, UCLA Departmentof Medicine, Los Angeles, CA, USA.
RAND Corporation · USBrigham and Women's Hospital · US

Funding

Measuring Chronic Pain ImpactR01AT010402 · NCCIH · RAND CORPORATION · PI HAYS, RONALD DALE, HERMAN, PATRICIA M · 2020 to 2023
$2.5M
NCCIH NIH HHS 1R01AT010402-01A1NCCIH NIH HHS R01 AT010402
6 · The paper itself

Abstract

backgroundIn 2014, the National Institute of Health Pain Consortium's research task force (RTF) on research standards for chronic low back pain (CLBP) proposed the Impact Stratification Score (ISS) as a patient-reported outcome measure that could stratify patients by the impact CLBP has on their lives. This work compares three newly developed ISS-based classifications to the RTF's original to provide an optimal recommendation.

methodsThe online sample included 1226 individuals from Amazon's Mechanical Turk who indicated having non-specific CLBP, average age of 40, 49% female, and 67% White. Participants completed the PROMIS-29 v2.1 profile survey that contains the 9 ISS items as well the Roland-Morris Disability Questionnaire (RMDQ) and Graded Chronic Pain Scale (GCPS). Other items included high-impact chronic pain; not working due to health problems; overall health; and number of healthcare visits for back pain in the past 6 months. Three new classifications were created using quartiles (Classification 2), latent profile analysis (Classification 3), and one modeled after the GCPS (Classification 4). Classifications were subsequently compared to the RTF-proposed classification (Classification 1) on several concurrent and prognostic criteria.

resultsClassification 1 had three CLBP severity groups, four in Classification 2, three in Classification 3, and four in Classification 4. All novel classifications improved upon the original. Classification 2 performed best at minimizing the classification of those with negative outcomes into the lowest severity groups at baseline (e.g., 11% with RMDQ ≥ 7) and 6 months (e.g., 8.2% had fair/poor health). Classification 4 performed best at maximizing classification of those with negative outcomes into the most severe group concurrently (e.g., 100% had GCPS grade ≥ 2) and at 6 months (e.g., 100% with RMDQ ≥ 7).

conclusionsWe developed three ISS-based classification schemes and tested them against several outcomes. All three improved upon the original scheme. While appearing more optimal than other classifications in the lowest severity groups, Classification 2 presents some considerations and limitations. Given that Classification 4 was an improvement at the lowest end of severity and was the best at the highest end, it is our tentative recommendation that this approach be adopted to classify individuals with non-specific CLBP.

Indexed as

Chronic PainLow Back PainAdultFemaleHumansMalePatient Reported Outcome MeasuresResearch DesignChronic low back painClassificationImpact stratification scorePatient-reported outcomesPROMIS®

Identifiers

PMID37689646
PMCPMC10492344
OpenAlexW4386570454

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.