Evidence map›Paper›PMID 39951510›Full record

ArticlePhysical therapy2025

Application of Algorithm-Based Treatment Approach to Low Back Pain in the Emergency Department.

Kyle J Strickland, Howard S Kim, Amee L Seitz

Abstract read
In one paragraph

Article in Physical therapy, 2025. 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

3 authors.

Kyle J StricklandDepartment of Rehabilitation Services, Northwestern Memorial Hospital, Chicago, IL 60611, United States.ORCID 0009-0008-3937-5500
Howard S KimDepartment of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, United States.ORCID 0000-0002-1934-4829
Amee L SeitzDepartment of Physical Therapy & Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, United States.ORCID 0000-0002-4272-1354

Funding

AHRQ HHS R01 HS027426US Agency for Healthcare Research and Quality NIH R01HS027426 (H.S.K.)
6 · The paper itself

Abstract

Low back pain accounts for nearly 4 million annual emergency department (ED) visits, and patient outcomes following an ED visit for low back pain are poor. Additionally, only a small portion of patients visiting the ED for low back pain follow up with outpatient physical therapy within 3 months, despite established benefits of early versus delayed physical therapy referral such as improved patient outcomes, less opioid use, and reduced downstream health care utilization. Integrating a physical therapist directly into the ED care team can facilitate evidence-based guideline concordant care and improve patient outcomes, however, physical therapists who are staffed into this role from other settings may lack experience with evaluating and managing patients with acute low back pain. Additionally, there are several unique considerations of the ED care environment which may make existing treatment-based classification approaches difficult to apply in this setting, including physical constraints (eg, delivering care in stretchers and hallways), higher symptom severity and psychosocial stressors necessitating an emergency visit, and greater likelihood of alternative medical diagnoses (eg, kidney stone, aortic aneurysm) contributing to symptoms of low back pain. This perspective presents a modified ED treatment-based classification system (ED-TBC) for low back pain with 3 illustrative case examples. The ED-TBC for low back pain can be used to facilitate guideline concordant care, increase physical therapist confidence in evaluating low back pain in the ED, and reduce clinical practice variation.

Indexed as

AlgorithmsEmergency Service, HospitalLow Back PainPhysical Therapy ModalitiesAdultFemaleHumansMaleMiddle AgedAcute CareEmergency CareEvidence-Based PracticeLow BackMusculoskeletal PainPainPrimary Health CareTreatment

Identifiers

PMID39951510
PMCPMC13032083

What OpenQuestion holds

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Registered trials

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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.