Evidence map›Paper›PMID 39522852›Full record

Observational studyThe journal of pain2025

Evaluating the representativeness of a cohort study of low back pain: Using electronic health record data to make direct comparisons of study participants with non-participants from the study population.

Pradeep Suri, Adrienne D Tanus, Ian Stanaway, Hazel Scott, Hannah F Brubeck, Bianca Irimia, Clinton J Daniels, Mark P Jensen, Sean D Rundell, Andrew K Timmons and 2 more

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in The journal of pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Pradeep SuriRehabilitation Care Services, VA Puget Sound Health Care System, USA; Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA; Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, USA. Electronic address: pradeep.suri@va.gov.
Adrienne D TanusSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Ian StanawayDepartment of Biostatistics, University of Washington, Seattle, USA.
Hazel ScottSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Hannah F BrubeckSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Bianca IrimiaSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Clinton J DanielsRehabilitation Care Services, VA Puget Sound Health Care System, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, USA.
Mark P JensenDepartment of Rehabilitation Medicine, University of Washington, Seattle, USA.
Sean D RundellClinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, USA.
Andrew K TimmonsSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Daniel MorelliSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA.
Patrick J HeagertyClinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA.

Funding

UW Core Center for Clinical Research of Musculoskeletal ConditionsP30AR072572 · NIAMS · UNIVERSITY OF WASHINGTON · PI JEFFREY G JARVIK, Pradeep Suri · 2017 to 2026
$8.3M
NIAMS NIH HHS P30 AR072572RRD VA I01 RX003248
6 · The paper itself

Abstract

Representativeness is an important component of generalizability. Few studies have rigorously examined the representativeness of randomized trials or observational studies of pain or musculoskeletal conditions with regards to a wide range of factors beyond age, sex, race, and ethnicity. We conducted the first study of a pain condition that uses individual-level data to directly compare the enrolled study sample to the population from which it was drawn. We used electronic health record data from the Veterans Affairs health system to compare participants in an observational study of low back pain (n = 417) with the study population of potentially eligible non-participants who were contacted about the study (n = 15,218). There were no statistically significant differences between participants and non-participants for most factors examined, and differences when present were of small or very small magnitude. Participants were more likely to be older (odds ratio [OR]=1.02 per each additional year of age [95 % CI 1.01-1.03], p < 0.001), women (OR=1.59 [95 % CI 1.26-2.01], p < 0.001), have had a prior diagnosis of lumbosacral radicular syndrome (OR=1.37 [95 % CI 1.08-1.74], p = 0.01), and report lower pain intensity (OR=0.96 per NRS point [95 % CI 0.93-1.00], p = 0.04). Current smokers (OR=0.54 [95 % CI 0.39-0.75], p < 0.001) and people of Asian descent (OR=0.62 [95 % CI 0.39-0.98], p < 0.001) were less likely to participate. This study illustrates an approach to directly compare research participants with non-participants from the study population. This approach can be considered as a standard method to examine the representativeness of study samples in pain research. PERSPECTIVE: This article illustrates how electronic health record data can be used to directly compare the representativeness of participants in a study of pain to the study population from which participants were selected. This approach should be considered as a standard method to examine the representativeness of study samples during reporting.

Indexed as

Electronic Health RecordsLow Back PainAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsBack painChronic painDisparitiesEpidemiologyValidity

Identifiers

PMID39522852
PMCPMC11781970

What OpenQuestion holds

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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.