Evidence map›Paper›PMID 40653582›Full record

ReviewJournal of robotic surgery2025

The robotic revolution in cardiac surgery.

Jack Ng Kok Wah

Abstract readReview
In one paragraph

Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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

1 author.

Jack Ng Kok WahMultimedia University, Cyberjaya, Malaysia. ngkokwah@mmu.edu.my.ORCID http://orcid.org/0000-0002-3055-953X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted cardiac surgery (RACS) is revolutionizing the landscape of cardiovascular interventions through technological precision, minimally invasive techniques, and improved clinical outcomes. Despite its rapid expansion, significant gaps remain regarding standardization, cost-efficiency, surgeon learning curves, and patient-centered outcomes. The study critically examines current innovations, evaluates comparative clinical and economic impacts, and synthesizes key trends and contradictions from 26 recent studies. The objective is to assess the clinical efficacy, scalability, and systemic implications of RACS across diverse procedures, such as mitral valve repair, coronary artery bypass grafting, and emerging robotic heart and congenital surgeries. Employing a mixed-methods approach, including qualitative analysis of patient experiences and quantitative evaluation of national databases and long-term outcomes, the review integrates systematic reviews, case studies, and meta-analyses for a comprehensive comparative synthesis. Findings highlight superior perioperative outcomes, faster recovery, and reduced complication rates in RACS compared to the conventional surgery. Robotic proficiency correlates strongly with surgical volume, institutional infrastructure, and interdisciplinary training, while economic evaluations remain mixed, indicating higher upfront costs but potential long-term savings. Notably, patient satisfaction is consistently high due to reduced invasiveness and faster rehabilitation yet concerns about accessibility and healthcare equity persist. Contradictory evidence surrounds the cost-benefit balance in low-volume centers and the influence of patient complexity on the learning curve, although emerging evidence suggests that these factors are becoming less prohibitive with experience and technological refinement. The review identifies gaps in multicenter longitudinal studies, standard training frameworks, and integration of Internet of Robotic Things (IoRT) in clinical workflows. It recommends expanding global data-sharing platforms, refining robotic surgical curricula, and enhancing AI-driven support systems for precision guidance. The implications span patient care quality, surgical education, healthcare economics, and future robotic innovations. Limitations include potential publication bias and underrepresentation of low-resource settings. Future research should focus on longitudinal, multicentric trials evaluating robotic outcomes across different demographics, procedures, and healthcare infrastructures. In conclusion, the robotic revolution in cardiac surgery promises transformative advances, yet requires coordinated global efforts to bridge disparities, optimize training, and validate its long-term value in complex cardiovascular care.

Indexed as

Cardiac Surgical ProceduresRobotic Surgical ProceduresCost-Benefit AnalysisHumansInternet of Robotic Things (IoRT) in cardiac surgeryLearning curve optimizationMinimally invasive extracorporeal circulationRobotic mitral valve repairTotally Endoscopic Coronary Artery Bypass (TECAB)

Identifiers

PMID40653582
PMCPMC12256362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.