Evidence map›Paper›PMID 37282418›Full record

ArticleJournal of minimal access surgery

Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre.

S P Somashekhar, Elroy Saldanha, Kalyan Pandey, Rohit Kumar, K R Ashwin

Open access · goldAbstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

S P SomashekharDepartment of Surgical Oncology, Manipal Hospitals, Bengaluru, Karnataka, India.
Elroy SaldanhaDepartment of Surgical Oncology, Manipal Hospitals, Bengaluru, Karnataka, India.
Kalyan PandeyDepartment of Surgical Oncology, Manipal Hospitals, Bengaluru, Karnataka, India.
Rohit KumarDepartment of Surgical Oncology, Manipal Hospitals, Bengaluru, Karnataka, India.
K R AshwinDepartment of Surgical Oncology, Manipal Hospitals, Bengaluru, Karnataka, India.
Christie's · GBManipal Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Minimally invasive surgery in rectal cancer has gained prominence owing to its various advantages in surgical outcomes. Due to rapid adoption of robotics in rectal surgery, we intended to assess the pace in which surgeons gain proficiency using cumulative summation (CUSUM) technique in learning curve. Materials and Methods: This was a prospective study of 262 rectal cancer cases who underwent robotic-assisted low anterior resection and abdominoperineal resection (RA-LAR and RA-APR). Parameters considered for the study were console time, docking time, lymph nodal yield, total operative time and post-operative outcomes. We used Manipal technique of port placements and modified centroside docking for the procedure. Results: The mean age of our study was 46.62 ± 5.7 years, the mean body mass index (BMI) was 31.51 ± 3.2 kg/m Conclusion: RA surgeries for rectal cancer have got good oncological and functional outcomes in high BMI, male pelvis and low rectal cancers. Learning curve can be shortened with constant self-auditing of the surgeon and team with each surgeries performed, reviewing the steps and by improving techniques.

Indexed as

Console timecumulation summation techniquedocking timerobotic-assisted abdominoperineal resectionrobotic-assisted low anterior resectiontotal operative time

Identifiers

PMID37282418
PMCPMC10695305
OpenAlexW4327804821

What OpenQuestion holds

Textmetadata
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.