Evidence map›Paper›PMID 36619437›Full record

ArticleHeliyon2022

Surgeon perception of factors affecting the efficiency of conventional and robotic laparoscopy: A Pan India study.

Prabhat Kumar, Radhik Rammohan, Mrunal Chavan, Rupesh Ghyar, Suresh Deshpande, Jagdeesh N Kulkarni, Hemant Bhansali, Bhallamudi Ravi

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A Hybrid Compliant-Tendon Laparoscopic Instrument for Distal Articulation and Grasping: Design and Experimental Validation.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

8 authors.

Prabhat KumarMechanical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.
Radhik RammohanElectrical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.
Mrunal ChavanMechanical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.
Rupesh GhyarBiomedical Engineering & Technology Innovation Centre, Indian Institute of Technology Bombay, Mumbai, India.
Suresh DeshpandeSwarup Hospital, Kolhapur, India.
Jagdeesh N KulkarniMinimal Invasive and Robotic Surgery, Asian Cancer Institute, Cumbala Hill Hospital, Mumbai, India.
Hemant BhansaliNanavati Hospital, Mumbai, India.
Bhallamudi RaviMechanical Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Laparoscopic surgery, being minimally invasive, offers many benefits including faster patient recovery, reduced scarring and lower mortality rate. It is, however, technically challenging and requires a long learning curve. These issues can be overcome by Robot-Assisted Surgery (RAS) systems, which incorporate computer-controlled motions enabling enhanced precision and accuracy. Methods: This study involves identifying and verifying various difficulties related to laparoscopy and the role of RAS in their mitigation. It involved 93 surgeons across India, covering a range of demographics, medical specialties and experience. They were interviewed to understand the current status and to compare RAS with conventional laparoscopy. The questionnaire developed for the purpose tests a set of hypotheses related to instruments, comfort, and other factors derived from the available literature as well as inputs from leading laparoscopy surgeons and domain experts. Results: A grading system was adopted to evaluate the hypotheses based on the surgeons' responses. A statistical method based on T-test was employed to gain useful inferences from the study. The results showed that early-career surgeons preferred haptic enabled systems. As the experience of the surgeon increases, tissue identification becomes easier, thereby reducing the need for haptic feedback-enabled instruments. Conclusions: The surgeons from across the demographics were strongly in the favour of the need for articulated instruments with surgeon-controlled camera systems. They reported a reduction in physical and mental discomfort during surgical procedures using RAS. They also confirmed the similarity in patient outcomes for both conventional laparoscopy and RAS. These insights are expected to be interesting and useful for further research and development in this field.

Indexed as

LaparoscopyMinimally invasive surgeryRobot-assisted surgery

Identifiers

PMID36619437
PMCPMC9813728

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Registered trials

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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.