Evidence map›Paper›PMID 42033016›Full record

ArticlePain medicine (Malden, Mass.)2026

Comparing low and high recovery expectations among those with lumbar spinal stenosis: a network analysis.

Adam Babitts, Annie T Chen, Dawn M Ehde, Adam P Goode, Jeffrey G Jarvik, Amy M Cizik, Eric N Meier, Janna L Friedly, Maggie E Horn, Pradeep Suri and 3 more

Abstract readComparative Study
In one paragraph

Article in Pain medicine (Malden, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Adam BabittsDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8474-2743
Annie T ChenBiomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.ORCID 0000-0003-3070-8336
Dawn M EhdeDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, United States.
Adam P GoodeDepartment of Orthopaedic Surgery, Duke University, Durham, NC, United States.
Jeffrey G JarvikClinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA, United States.
Amy M CizikDepartment of Orthopaedics, University of Utah, Salt Lake City, UT, United States.
Eric N MeierClinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA, United States.
Janna L FriedlyDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, United States.
Maggie E HornDepartment of Orthopaedic Surgery, Duke University, Durham, NC, United States.
Pradeep SuriDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0002-9449-4165
Colleen A BurkeDepartment of Population Health Sciences, Duke University, Durham, NC, United States.
Sandra K JohnstonClinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA, United States.
Sean D RundellDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0003-0782-5999

Funding

NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
UW Core Center for Clinical Research of Musculoskeletal ConditionsP30AR072572 · NIAMS · UNIVERSITY OF WASHINGTON · PI JEFFREY G JARVIK, Pradeep Suri · 2017 to 2026
$8.3M
Lumbar Stenosis Prognostic Subgroups for Personalizing Care and Treatment (PROSPECTS)R01AG069891 · NIA · UNIVERSITY OF WASHINGTON · PI RUNDELL, SEAN DANIEL · 2020 to 2024
$2.9M
Clinical Learning, Evidence, and ResearchMusculoskeletal ResearchNCATS NIH HHSNCATS NIH HHS TL1 TR002318NIAMS NIH HHSNIAMS NIH HHS P30 AR072572NIA NIH HHS R01 AG069891NIA NIH HHS R01AG069891NIH HHS 5TL1TR002318-08ABNIH HHS P30AR072572University of Washington
6 · The paper itself

Abstract

objectiveThis study aimed to (1) compare networks of factors for patients with low and high recovery expectations in individuals with lumbar spinal stenosis (LSS) using biopsychosocial measures and duration of symptoms and (2) identify the most influential factors within each group.

methodsWe conducted a cross-sectional study using baseline data from 598 patients with LSS. Participants were recruited through Duke University and the University of Washington spine clinics between 2021 and 2024. Recovery expectations were assessed using a 0 (lowest) to 10 (highest) numerical rating scale. We stratified participants into low and high expectation groups. Network analysis was used to assess relationships among factors for each group. Networks included chronicity and PROMIS-29 + 2 Profile. Partial correlations, centralities, network comparison measures, and network stabilities were calculated.

resultsThere were 226 participants with low and 108 with high recovery expectations. The 2 networks did not have significant structural differences, and strength centralities were stable. Chronicity was not significantly associated with other factors in both networks. Pain Interference and Fatigue strength centralities show greater importance in both networks. Anxiety had significantly higher strength in the low expectation group, suggesting greater relevance for individuals with low expectations.

conclusionPain Interference and Fatigue were influential for both groups, while Anxiety was more influential for those with low expectations. Future research and patient management should consider the influence of anxiety for those with low recovery expectations and pain interference and fatigue for all individuals with LSS on other associated factors.

Indexed as

Lumbar VertebraeRecovery of FunctionSpinal StenosisAgedCross-Sectional StudiesFemaleHumansMaleMiddle Agedlumbar stenosisnetwork analysisrecovery expectations

Identifiers

PMID42033016
PMCPMC13289713

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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.