Evidence map›Paper›PMID 31304351›Full record

ArticleNPJ digital medicine2019

Randomized controlled trial of a 12-week digital care program in improving low back pain.

Raad Shebib, Jeannie F Bailey, Peter Smittenaar, Daniel A Perez, Gabriel Mecklenburg, Simon Hunter

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 13 pooled it
21.0field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 13 syntheses or guidelines pooled it, 361 citations in OpenAlex.

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  12. Exercise therapy for chronic low back pain.The Cochrane database of systematic reviews · 2021
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29 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Raad Shebib *1Hinge Health, Inc, San Francisco, CA USA.
Jeannie F Bailey *3Department of Orthopaedic Surgery, University of California, San Francisco, CA USA.
Peter Smittenaar1Hinge Health, Inc, San Francisco, CA USA.
Daniel A Perez1Hinge Health, Inc, San Francisco, CA USA.
Gabriel Mecklenburg1Hinge Health, Inc, San Francisco, CA USA.
Simon Hunter1Hinge Health, Inc, San Francisco, CA USA.
Hinge Health · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low back pain (LBP) is the leading cause of disability throughout the world and is economically burdensome. The recommended first line treatment for non-specific LBP is non-invasive care. A digital care program (DCP) delivering evidence-based non-invasive treatment for LBP can aid self-management by engaging patients and scales personalized therapy for patient-specific needs. We assessed the efficacy of a 12-week DCP for LBP in a two-armed, pre-registered, randomized, controlled trial (RCT). Participants were included based on self-reported duration of LBP, but those with surgery or injury to the lower back in the previous three months were excluded. The treatment group (DCP) received the 12-week DCP, consisting of sensor-guided exercise therapy, education, cognitive behavioral therapy, team and individual behavioral coaching, activity tracking, and symptom tracking - all administered remotely via an app. The control group received three digital education articles only. All participants maintained access to treatment-as-usual. At 12 weeks, an intention-to-treat analysis showed each primary outcome-Oswestry Disability Index (

Indexed as

Health careMedical research

Identifiers

PMID31304351
PMCPMC6550254
OpenAlexW2907378463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.