Evidence map›Paper›PMID 33167300›Full record

ReviewJournal of clinical medicine2020

Mobile Application-Based Interventions for Chronic Pain Patients: A Systematic Review and Meta-Analysis of Effectiveness.

Ann-Christin Pfeifer, Riaz Uddin, Paul Schröder-Pfeifer, Felix Holl, Walter Swoboda, Marcus Schiltenwolf

4 registry-linked trialsAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 49 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 7 pooled it
–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.

NCT04726228 recruitingnot on this mapstarted 2021, after this paper: background citation

Home-Based Telemedicine for Automatic Pain Assessment in Cancer Patients: Dataset Creation and Development of Machine Learning Algorithms

TypeobservationalSponsorNational Cancer Institute, NaplesRan2021 to 2025Enrolled40ConditionsOncology, Cancer Pain, Quality of Life
NCT05090683 nacompletednot on this mapstarted 2021, after this paper: background citation

Evaluation of a Mind-body Based Application for the Treatment of Chronic/Persistent Pain.

TypeinterventionalSponsorUniversity of the Fraser ValleyRan2021 to 2022Enrolled198ConditionsChronic Pain, Migraine, Chronic Pain SyndromeArmsMind-body mobile application
NCT05980572 nacompletednot on this mapstarted 2022, after this paper: background citation

Mobile Device Based Telerehabilitation for Frozen Shoulder-A Prospective Randomized Controlled Study.

TypeinterventionalSponsorChang Gung Memorial HospitalRan2022 to 2023Enrolled21ConditionsFrozen ShoulderArmsGlenohumeral joint and subacromial space triamcinolone injections, App-assisted exercise, Nonsteroidal anti-inflammatory drugs (aceclofenac)
NCT07143396 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of a Mind-Body Application in Combination With a Graded Movement Program for the Treatment of Chronic Pain

TypeinterventionalSponsorUniversity of the Fraser ValleyRan2025 to 2025Enrolled100ConditionsChronic Pain, Migraine, Chronic Pain SyndromeArmsMind-body mobile application and guided movement
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Evaluation of temporomandibular disorder self-management apps in Australia: a systematic review to inform clinical use.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Ann-Christin PfeiferDepartment of Orthopedics, Trauma Surgery and Paraplegiology, Heidelberg University Hospital, Schlierbacher Landstr. 200a, D-69118 Heidelberg, Germany.
Riaz UddinInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria 3220, Australia.ORCID 0000-0001-8133-9732
Paul Schröder-PfeiferInstitute of Psychosocial Prevention at the Center for Psychosocial Medicine, University Hospital Heidelberg, Bergheimer Str. 54, D-69115 Heidelberg, Germany.
Felix HollDigiHealth Institute, Neu-Ulm University of Applied Sciences, Wileystr. 1, D-89231 Neu-Ulm, Germany.ORCID 0000-0002-4020-9509
Walter SwobodaDigiHealth Institute, Neu-Ulm University of Applied Sciences, Wileystr. 1, D-89231 Neu-Ulm, Germany.
Marcus SchiltenwolfDepartment of Orthopedics, Trauma Surgery and Paraplegiology, Heidelberg University Hospital, Schlierbacher Landstr. 200a, D-69118 Heidelberg, Germany.ORCID 0000-0003-0835-4172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain is one of the major causes of disability in the general population. Even though there are effective treatment options available for reducing symptoms, these treatments often do not have consistent lasting effects. As the usage of mobile devices has increased enormously during the last few years, mobile application-based treatment options are widespread. Such app-based programs are not yet empirically proven but might enable patients to become more independent in their pain management in order to prevent relapse. The aim of this meta-analysis was to summarize the literature on mobile application-based interventions for chronic pain patients. Therefore, three electronic bibliographic databases, PubMed, PsycINFO, and Web of Science, were searched for studies that investigated the effectiveness of mobile application-based intervention for chronic pain on pain intensity. The final sample comprised twenty-two studies, with a total of 4679 individuals. Twelve of these twenty-two studies used a randomized control trial (RCT) design, while ten studies only used an observational design. For all twenty-two studies, a small but significant effect (

Indexed as

chronic painmeta-analysismobile applicationrehabilitationreview

Identifiers

PMID33167300
PMCPMC7694405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.