Evidence map›Paper›PMID 36861532›Full record

ArticleJournal of minimal access surgery

Robotic infraclavicular approach for minimally invasive neck dissection in head-neck cancers.

Ameenuddin Khan, V Sreekanth Reddy, Bharath Gangadhara, M Mayur, Arunkumar Barad, Devaprasad Munisiddaiah, Athira Ramakrishnan, Abhilasha Sadhoo, Sandeep P Nayak

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of minimal access surgery. 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
0.3field-weighted citation impact, top 44% 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.

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 citations in OpenAlex.

  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

9 authors at 1 institution in 1 country.

Ameenuddin KhanDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
V Sreekanth ReddyDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Bharath GangadharaDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
M MayurDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Arunkumar BaradDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Devaprasad MunisiddaiahDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Athira RamakrishnanDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Abhilasha SadhooDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Sandeep P NayakDepartment of Surgical Oncology, Fortis Hospital, Bengaluru, Karnataka, India.
Fortis Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the recent years, there has been a rapid increase in the use of robot assisted neck dissection (RAND) as an alternative method for conventional neck dissection. Several recent reports have emphasized upon the feasibility and effectiveness of this technique. However, substantial technical and technological innovation is still essential in spite of the availability of multiple approaches for RAND. Materials and Methods: The present study describes a novel technique, i.e., Robotic Infraclavicular Approach for Minimally Invasive Neck Dissection (RIA MIND) used in head and neck cancers with the help of Intuitive da Vinci Xi Surgical System. Results: After RIA MIND procedure, the patient was discharged on the third post operative day. Also, the total wound size was less than 3.5 cm which enhanced the patient recovery time and required minimal post operative care. The patient was further reviewed 10 days after the procedure for the removal of sutures. Conclusion: RIA MIND technique was effective and safe for performing neck dissection for oral, head and neck cancers. However, additional detailed studies will be required for establishing this technique.

Indexed as

head and neck cancersInfraclavicular approachIntuitive da Vinci Xi Surgical Systemminimally invasive neck dissectionneck dissectionoralrobot assisted neck dissection

Identifiers

PMID36861532
PMCPMC10449050
OpenAlexW4320736095

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.