Evidence map›Paper›PMID 36937915›Full record

ArticleFrontiers in cardiovascular medicine2023

New perspectives in patient education for cardiac surgery using 3D-printing and virtual reality.

Maximilian Grab, Fabian Hundertmark, Nikolaus Thierfelder, Matthew Fairchild, Petra Mela, Christian Hagl, Linda Grefen

Registry-linked trialOpen access · goldFull text read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07036926 (Video-Based AI-Generated Peri-operative Instructions for Mitral Valve Surgery), which is not on this map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
13.3field-weighted citation impact, top 1% 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.

NCT07036926 narecruitingnot on this mapstarted 2025, after this paper: background citation

Video-Based AI-Generated Peri-operative Instructions for Mitral Valve Surgery: A Randomized Controlled Trial on Health Outcomes and Patient Experience

TypeinterventionalSponsorJoanna ChikweRan2025 to 2026Enrolled100ConditionsMitral Valve Repair SurgeryArmsArtificial Intelligence Video Education Arm
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  17. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
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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

7 authors at 2 institutions in 1 country.

Maximilian GrabDepartment of Cardiac Surgery, Ludwig Maximilians University Munich, Munich, Germany.
Fabian HundertmarkDepartment of Cardiac Surgery, Ludwig Maximilians University Munich, Munich, Germany.
Nikolaus ThierfelderDepartment of Cardiac Surgery, Ludwig Maximilians University Munich, Munich, Germany.
Matthew Fairchildvr-on GmbH, Munich, Germany.
Petra MelaChair of Medical Materials and Implants, Technical University Munich, Munich, Germany.
Christian HaglDepartment of Cardiac Surgery, Ludwig Maximilians University Munich, Munich, Germany.
Linda GrefenDepartment of Cardiac Surgery, Ludwig Maximilians University Munich, Munich, Germany.
Ludwig-Maximilians-Universität München · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative anxiety in cardiac surgery can lead to prolonged hospital stays and negative postoperative outcomes. An improved patient education using 3D models may reduce preoperative anxiety and risks associated with it. Methods: Patient education was performed with standardized paper-based methods ( Results: A significant reduction in anxiety measured by Visual Analog Scale was achieved after patient education with virtual reality models (5.00 to 4.32, Conclusion: Routine patient education with additional 3D models can significantly improve the patients' satisfaction and reduce subjective preoperative anxiety effectively.

Indexed as

3D-printingcardiac surgerypatient educationpreoperative anxietyvirtual reality

Identifiers

PMID36937915
PMCPMC10020687
OpenAlexW4323044859

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read56
Read underepoch 390

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.