Evidence map›Paper›PMID 38427463›Full record

Observational studyJournal of back and musculoskeletal rehabilitation2024

Predictors of response in PROMIS-global in a chronic low back pain specialty clinic: STarTBack and chronic overlapping pain conditions.

Patricia Zheng, Susan Ewing, Angelina Tang, Dennis Black, Trisha Hue, Jeffrey Lotz, Thomas Peterson, Abel Torres-Espin, Conor O'Neill

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of back and musculoskeletal rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. The Centralized Pain Score: A Method to Identify Nociplastic Pain in Electronic Health Records.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2026
    Article
  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

9 authors at 2 institutions in 2 countries.

Patricia ZhengDepartment of Orthopaedic Surgery, University of California, San Francisco, CA, USA.
Susan EwingDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Angelina TangSchool of Medicine, University of California, San Francisco, CA, USA.
Dennis BlackDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Trisha HueDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Jeffrey LotzDepartment of Orthopaedic Surgery, University of California, San Francisco, CA, USA.
Thomas PetersonDepartment of Orthopaedic Surgery, University of California, San Francisco, CA, USA.
Abel Torres-EspinDepartment of Neurological Surgery, University of California, San Francisco, CA, USA.
Conor O'NeillDepartment of Orthopaedic Surgery, University of California, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTools, such as the STarTBack Screening Tool (SBT), have been developed to identify risks of progressing to chronic disability in low back pain (LBP) patients in the primary care population. However, less is known about predictors of change in function after treatment in the specialty care population.

objectiveWe pursued a retrospective observational cohort study involving LBP patients seen in a multidisciplinary specialty clinic to assess which features can predict change in function at follow-up.

methodsThe SBT was administered at initial visit, and a variety of patient characteristics were available in the chart including the presence of chronic overlapping pain conditions (COPCs). Patient Reported Outcomes Measurement Information System-10 (PROMIS-10) global physical health (PH) and global mental health (MH) were measured at baseline and at pragmatic time points during follow-up. Linear regression was used to estimate adjusted associations between available features and changes in PROMIS scores.

results241 patients were followed for a mean of 17.0 ± 7.5 months. Mean baseline pain was 6.7 (SD 2.1), PROMIS-10 global MH score was 44.8 (SD 9.3), and PH score was 39.4 (SD 8.6). 29.7% were low-risk on the SBT, 41.8% were medium-risk, and 28.5% were high-risk. Mean change in MH and PH scores from baseline to the follow-up questionnaire were 0.86 (SD 8.11) and 2.39 (SD 7.52), respectively. Compared to low-risk patients, high-risk patients had a mean 4.35 points greater improvement in their MH score (p= 0.004) and a mean 3.54 points greater improvement in PH score (p= 0.006). Fewer COPCs also predicted greater improvement in MH and PH.

conclusionsSBT and the presence of COPC, which can be assessed at initial presentation to a specialty clinic, can predict change in PROMIS following treatment. Effort is needed to identify other factors that can help predict change in function after treatment in the specialty care setting.

Indexed as

Chronic PainLow Back PainPatient Reported Outcome MeasuresAdultDisability EvaluationFemaleHumansMaleMiddle AgedPain MeasurementRetrospective Studieslow back painNon-surgical spine careprecision medicinespecialty clinic

Identifiers

PMID38427463
PMCPMC11307069
OpenAlexW4392391325

What OpenQuestion holds

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LicenceCC BY
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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.