Evidence map›Paper›PMID 37318535›Full record

ReviewOrthopadie (Heidelberg, Germany)2023

[Digitalization in rehabilitation].

Christina Valle, Markus Schmitt-Sody

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

2 authors at 2 institutions in 3 countries.

Christina ValleMedical Park Chiemsee, Birkenallee 41, 83233, Bernau am Chiemsee, Deutschland. christina.valle@tum.de.
Markus Schmitt-SodyMedical Park Chiemsee, Birkenallee 41, 83233, Bernau am Chiemsee, Deutschland. m.schmitt-sody@medicalpark.de.
Ark Medical Center · USUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe term digitalization is in trend. In addition to modernizing existing structures and converting analogue to digital processes, there are now a large number of digital applications available in the medical field. This is also increasingly influencing prehabilitation and rehabilitation.

objectiveThe aim of this article is to provide an overview of digitalization options in the field of rehabilitation, taking the current literature into account. MATERIAL AND

methodsA systematic literature search was carried out on the topic of digitalization in rehabilitation, especially in relation to interventions and diseases of the knee joint, using among others PubMed and PEDro. RESULTS AND

conclusionHaving arrived in "Rehabilitation 4.0", the networking of all infrastructures as well as the increasing use of artificial intelligence, the individualization of offers for healthcare companies and patients are playing an increasing role and are experiencing a real hype due to the supposedly infinite possibilities; however, the data situation on various digital offers in rehabilitation is inconsistent. The digital transformation provides many opportunities and challenges for rehabilitation, but despite all the euphoria it has to be critically questioned.

Indexed as

Artificial IntelligenceMedicineDelivery of Health CareHumansKnee JointArtificial intelligenceIndividualizationKnee jointPhysiotherapyTelerehabilitation

Identifiers

PMID37318535
OpenAlexW4380730589

What OpenQuestion holds

Textmetadata
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.