Evidence map›Paper›PMID 36261825›Full record

Trial reportBMC musculoskeletal disorders2022

"Back Rx, a personalized mobile phone application for discogenic chronic low back pain: a prospective pilot study".

Vijay B Vad, Antonio Madrazo-Ibarra, Deborah Estrin, John P Pollak, Kaitlin M Carroll, Deneen Vojta, Amoli Vad, Camilla Trapness

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03040310 (Personalized Back Rx Exercise Program With Coaching, Social Support, and Sensor-assisted Assessments as a Treatment for Discogenic Low Back Pain), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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.

NCT03040310 nacompletednot on this map

Personalized Back Rx Exercise Program With Coaching, Social Support, and Sensor-assisted Assessments as a Treatment for Discogenic Low Back Pain: A Prospective Pilot Study

TypeinterventionalSponsorHospital for Special Surgery, New YorkRan2016 to 2017Enrolled98ConditionsLow Back PainArmsBack Rx program
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 3 institutions in 1 country.

Vijay B VadAssistant Professor, Hospital for Special Surgery, New York, NY, USA.
Antonio Madrazo-IbarraHospital for Special Surgery, Research Fellow, New York, NY, USA. amadrazoi@live.com.
Deborah EstrinAssociate Dean of Computer Science, Cornell Tech, New York, NY, USA.
John P PollakCornell Tech, Senior Research-in-Residence, New York, NY, USA.
Kaitlin M CarrollHospital for Special Surgery, Research Assistant, New York, NY, USA.
Deneen VojtaExecutive Vice President, UnitedHealth Group Research & Development, Minnetonka, MN, USA.
Amoli VadHospital for Special Surgery, Research Assistant, New York, NY, USA.
Camilla TrapnessHospital for Special Surgery, Research Coordinator, New York, NY, USA.
Hospital for Special Surgery · USCornell University · USUnitedHealth Group (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntervertebral disc pathology is the most common identifiable cause of chronic lower back pain (CLBP). There are limited conservative alternatives to treat discogenic axial CLBP. Back Rx is a mobile application (app) developed to treat patients with this condition, following the Back Rx exercise program, assisted by a virtual coach.

methodsPatients 18 to 65 years of age, with axial CLBP (more than 3 months), and evidence of lumbar disc pathology by magnetic resonance imaging (MRI) were enrolled to the study. Patients' symptomatology was prospectively evaluated at baseline and after 3 months of using the Back Rx app. The main outcome of the study was back pain evaluated using the visual analog scale (VAS) for pain. Secondary outcomes were the patient's functionality, the weekly pain medication intake, the patients' adherence to the app, and the patients´ satisfaction rate.

resultsSeventy-five patients with CLBP were enrolled in the study. All patients had a statistically significant improvement from baseline to final follow-up in the average VAS scores, and the functionality evaluations. Average VAS scores decreased from 5.17 ± 2.1 at baseline to 3.8 ± 2.6 at final follow-up (P = 0.016). Patients showed a significant decrease in the number of pain medications taken during a week (P = 0.001). Overall compliance with the app was 52%, and 65% of the patients rated the overall experience as good or excellent.

conclusionThe Back Rx app decreased pain and increased function in patients with discogenic axial CLBP compared to their baseline status. Further measures are needed to increase patients' compliance with the app and the Back Rx program.

trial registrationRetrospectively registered in 2/2/2017 NCT03040310 (ClinicalTrials.gov).

Indexed as

Cell PhoneChronic PainLow Back PainMobile ApplicationsAdolescentAdultAgedHumansLumbar VertebraeMiddle AgedPilot ProjectsProspective StudiesTreatment OutcomeYoung AdultChronic low back painExercise therapyLow back painMobile applicationsSelf-managementTelemedicine

Identifiers

PMID36261825
PMCPMC9580128
OpenAlexW4306784305

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.