Evidence map›Paper›PMID 29633737›Full record

ReviewActa bio-medica : Atenei Parmensis2018

Smartphone APPlications in the clinical care and management of Rheumatic Diseases.

Fausto Salaffi, Sonia Farah, Marco Di Carlo

Open access · greenAbstract readReview
In one paragraph

Review in Acta bio-medica : Atenei Parmensis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Texting on a Smartphone While Walking Affects Gait Parameters.International journal of environmental research and public health · 2023
    Article
  6. 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

3 authors at 1 institution in 1 country.

Fausto SalaffiUniversità Politecnica delle Marche. fausto.salaffi@gmail.com.
Sonia Farah2DII Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. sonia.farah91@gmail.com.
Marco Di CarloUniversità Politecnica delle Marche. dica.marco@yahoo.it.
Marche Polytechnic University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatic diseases (RDs) are the most common cause of severe long-term pain and physical disability, affecting hundreds of millions of people around the world. Smartphones technology have the potential to become an important tool that rheumatologist can employ in the clinical care management of RD.

methodsResearch of the published literature on the principle electronic databases available as Ovid MEDLINE, Health Technology Assessment Database, Embase, and PsycINFO was conducted, and the studies evaluated eligible were reviewed.

resultsOur search produced 120 results from which 47 eligible articles were identified reporting studies of smartphone apps for patients with RD. All examined feasibility and five assessed the efficacy of a smartphone intervention for clinical care management.

conclusionsIt has been demonstrated a strong evidence for the feasibility of using smartphone to enhance care of patients with RD.  Based on the available literature and our personal experiences, we consider useful the development of some mobile phone apps, to simplify and assist the rheumatologist during his clinical practice. Still remains limited data on the efficacy of such interventions.

Indexed as

Mobile ApplicationsSmartphoneDecision Support Systems, ClinicalHumansRheumatic Diseases

Identifiers

PMID29633737
PMCPMC6357608
OpenAlexW2801539148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.