Evidence map›Paper›PMID 39707082›Full record

ReviewJournal of robotic surgery2024

Impact of innovative technologies on quality and safety in surgery.

Ioannis K Dagkinis, Stergiani Spyrou, Georgios K Georgantis, Panagiotis M Psomas, Agapios N Platis, Georgios Tsoulfas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ioannis K DagkinisDepartment of Shipping Trade and Transport, University of the Aegean, Korai 2a, 82100, Chios, Greece. idag@aegean.gr.
Stergiani SpyrouLab of Medical Physics & Digital Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Georgios K GeorgantisSurgical Transplant Clinic, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Panagiotis M PsomasDepartment of Financial and Management Engineering, University of the Aegean, Kountouriotou 41, 82100, Chios, Greece.
Agapios N PlatisDepartment of Financial and Management Engineering, University of the Aegean, Kountouriotou 41, 82100, Chios, Greece.
Georgios TsoulfasSurgical Transplant Clinic, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advancements gradually lead to the revision and transformation of healthcare, training, and research. Surgery is a field of medicine where the collaboration of human resources and the application of innovative technologies could elevate faithfulness and efficiency. The article, exploring the technologies and analyzing them in terms of their reliability, the benefits of performing precision surgeries, the effectiveness in the outcome of surgery with less psychosomatic fatigue, and the improvements in the training process for surgeons, emphasizes the safety and quality that can be achieved. The study was conducted by searching the relevant papers mainly from 2016-2024 using different online databases such as Web of Science, Google Scholar, and PubMed to examine the impact of adopting new technologies in medicine. This paper highlights that the use of innovative technologies in a wide range of surgical procedures could, by adapting interdisciplinary procedures, provide significant results in issues related to safety, quality, reliability, and training.

Indexed as

Digital HealthPatient SafetyQuality of Health CareHumansInventionsReproducibility of ResultsRobotic Surgical ProceduresHealthcareInnovative TechnologiesQualitySafetySurgery

Identifiers

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.