Evidence map›Paper›PMID 39166500›Full record

ReviewAnaesthesiology intensive therapy2024

Remote, automatic, digital preanesthetic evaluation - are we there yet?

Michał Pasternak, Wojciech Szczeklik, Szymon Białka, Paweł Andruszkiewicz, Marta Szczukocka, Aleksandra Pawlak, Elżbieta Rypulak, Dawid Pytliński, Michał Borys, Mirosław Czuczwar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Anaesthesiology intensive therapy, 2024. 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
–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.

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.

  1. Article
  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

10 authors.

Michał Pasternak2nd Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Poland.
Wojciech SzczeklikDepartment of Intensive Care and Anaesthesiology, 5th Military Hospital with Polyclinic, Krakow, Poland.
Szymon BiałkaDepartment of Anaesthesiology and Critical Care, School of Medicine with Division of Dentistry in Zabrze, Medical University of Silesia, Zabrze, Poland.
Paweł Andruszkiewicz2nd Department of Anaesthesiology and Intensive Care, Medical University of Warsaw, Warsaw, Poland.
Marta Szczukocka2nd Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Poland.
Aleksandra PawlakDepartment of Anaesthesiological Nursing and Intensive Medical Care, Medical University of Lublin, Poland.
Elżbieta Rypulak2nd Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Poland.
Dawid PytlińskiWroclaw School of Information Technology "Horyzont," The Faculty of Informatics, Wroclaw, Poland.
Michał Borys2nd Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Poland.
Mirosław Czuczwar2nd Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have witnessed multiple advancements in the field of information technology in medicine. The need to ensure patient and doctor safety during COVID-19 resulted in improved telemedicine adaptation across various fields, including anaesthesiology. In this review, the authors examine the current state of the elements of preanesthetic evaluation and their remote execution using current and future telemedical facilities and technologies, as well as the potential of future advancements in this field.

Indexed as

COVID-19TelemedicineAnesthesiologyHumansanaesthesiaartificial intelligenceautomatic preanaesthetic evaluatione-healthpreanaesthesia questionnairepreanaesthetic evaluationpreanaesthetic visitremoteremote preanaesthetic evaluationtelemedicine

Identifiers

PMID39166500
PMCPMC11284583

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.