Evidence map›Paper›PMID 36984625›Full record

ArticleMedicina (Kaunas, Lithuania)2023

Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D

Enrico Checcucci, Federico Piramide, Sabrina De Cillis, Gabriele Volpi, Alberto Piana, Paolo Verri, Andrea Bellin, Michele Di Dio, Cristian Fiori, Francesco Porpiglia and 2 more

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

12 authors.

Enrico CheccucciDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy.
Federico PiramideDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.
Sabrina De CillisDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.
Gabriele VolpiDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy.
Alberto PianaDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0001-9247-7938
Paolo VerriDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0002-3662-6828
Andrea BellinDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.
Michele Di DioDivision of Urology, Department of Surgery, Annunziata Hospital, 10060 Cosenza, Italy.ORCID 0000-0002-3227-5573
Cristian FioriDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.
Francesco PorpigliaDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0001-8567-6795
Daniele AmparoreDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, 10043 Orbassano, Italy.ORCID 0000-0001-5425-5453
Icon Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Medical InformaticsRoboticsRobotic Surgical ProceduresAnimalsCognitionMiceSurveys and Questionnaires3D guided surgery3D modelsaugmented realitylaparoscopy

Identifiers

PMID36984625
PMCPMC10057936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.