Evidence map›Paper›PMID 37563314›Full record

ArticleDie Anaesthesiologie2023

[Teleconsultation for preoperative evaluation and informed consent-Are we ready for a paradigm shift?]

Jan Wienhold, Ilka Kemper, Michael Czaplik, Andreas Follmann, Rolf Rossaint, Matthias Derwall

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Die Anaesthesiologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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 at 3 institutions in 1 country.

Jan WienholdKlinik für Anästhesiologie, Medizinische Fakultät der RWTH Aachen, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland. jwienhold@ukaachen.de.
Ilka KemperGeschäftsbereich Recht, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
Michael CzaplikKlinik für Anästhesiologie, Medizinische Fakultät der RWTH Aachen, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
Andreas FollmannKlinik für Anästhesiologie, Medizinische Fakultät der RWTH Aachen, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
Rolf RossaintKlinik für Anästhesiologie, Medizinische Fakultät der RWTH Aachen, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
Matthias DerwallSt. Johannes Hospital Dortmund, Johannesstraße 9-17, 44137, Dortmund, Deutschland.
Universitätsklinikum Aachen · DERWTH Aachen University · DESt.-Johannes-Hospital Dortmund · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Germany, approximately 17 million anaesthesiological procedures and, consequently, roughly the same number of preoperative consultations are conducted each year. So far, these have predominantly taken place in person. However, recent developments in technology, medical-legal aspects, and politics, combined with the catalyzing effect of the pandemic situation, have led to a significant boost in telemedicine. In the field of anaesthesia, there are new approaches to implementing telemedicine in the pre- and postoperative setting. This article focuses on the preoperative setting and presents general requirements for a teleconsultation as preoperative evaluation, the current state of technology, and medical-legal aspects.

Indexed as

Informed ConsentPreoperative CareRemote ConsultationTelemedicineCOVID-19GermanyHumansInformed consentPreoperative evaluationRisk assessmentTeleconsultationTelemedicine

Identifiers

PMID37563314
OpenAlexW4385719087

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.