ReviewSchmerz (Berlin, Germany)2023
[Application possibilities of digital tools in postoperative pain therapy].
Review in Schmerz (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. Therefore, this article provides an overview of various digital tools and their potential application options in postoperative pain management. MATERIAL AND
methodsAn orienting literature search was carried out in the MEDLINE and Web of Science databases, and a targeted selection of essential key publications was made in order to provide a structured presentation of different current possible applications and a discussion based on the most recent knowledge.
resultsToday, possible applications of digital tools, even if they mostly have only a model character, include pain documentation and assessment, patient self-management and education, pain prediction, decision support for medical staff, and supportive pain therapy, for example in the form of virtual reality and videos. These tools offer advantages such as individualized treatment concepts, addressing specific patient groups, reduction of pain and analgesics, and the potential for early warning or detection of postoperative pain. Furthermore, the challenges of the technical implementation and appropriate user training are highlighted.
conclusionThe use of digital tools, although so far integrated in clinical routine in a relatively selective and exemplary manner, promises to be an innovative approach for personalized postoperative pain therapy in the future. Future studies and projects should help to integrate the promising research approaches into everyday clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
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.