Evidence map›Paper›PMID 34244856›Full record

ArticleInternational journal of colorectal disease2021

Defining benchmarks for robotic-assisted low anterior rectum resection in low-morbid patients: a multicenter analysis.

Jan-Hendrik Egberts, Jan-Niclas Kersebaum, Benno Mann, Heiko Aselmann, Markus Hirschburger, Julia Graß, Thomas Becker, Jakob Izbicki, Daniel Perez

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in International journal of colorectal disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. ColoRobotica: Structured training in robotic colorectal surgery.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025
    Article
  2. Article
  3. [Robots in visceral and thoracic surgery-Quo vadis?]Chirurgie (Heidelberg, Germany) · 2023
    Review
  4. Article
  5. 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 4 institutions in 1 country.

Jan-Hendrik Egberts *Clinic for Visceral Surgery, Israelitisches Krankenhaus Hamburg, Hamburg, Germany. J.Egberts@ik-h.de.
Jan-Niclas Kersebaum *Clinic for General, Visceral, Thoracic, Transplantation, and Pediatric Surgery, University Hospital Schleswig-Holstein, Campus Kie, Kiel, Germany.ORCID http://orcid.org/0000-0002-0418-9168
Benno MannClinic for Visceral Surgery, Augusta-Kranken-Anstalten Bochum, Bochum, Germany.
Heiko AselmannClinic for General, Visceral, and Vascular Surgery, KRH Klinikum Robert Koch Gehrden, Gehrden, Germany.
Markus HirschburgerClinic for General, Visceral, and Thoracic Surgery, Clinic Worms, Worms, Germany.
Julia GraßClinic for General, Visceral, and Thoracic Surgery, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Thomas BeckerClinic for General, Visceral, Thoracic, Transplantation, and Pediatric Surgery, University Hospital Schleswig-Holstein, Campus Kie, Kiel, Germany.
Jakob IzbickiClinic for General, Visceral, and Thoracic Surgery, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Daniel PerezClinic for General, Visceral, and Thoracic Surgery, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DEUniversity Hospital Schleswig-Holstein · DEAugusta-Kranken-Anstalt · DEUniversity of Applied Sciences Worms · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo define the best possible outcomes for robotic-assisted low anterior rectum resection (RLAR) using total mesorectal excision (TME) in low-morbid patients, performed by expert robotic surgeons in German robotic centers. The benchmark values were derived from these results.

methodsThe data was retrospectively collected from five German expert centers. After patient exclusion (prior surgery, extended surgery, no prior anastomosis, hand-sewn anastomosis), the benchmark cohort was defined (n = 226). The median with interquartile range was first calculated for the individual centers. The 75th percentile of the median results was defined as the benchmark cutoff and represents the "perfect" achievable outcome. This applied to all benchmark values apart from lymph node yield, where the cutoff was defined as the 25th percentile (more lymph nodes are better).

resultsThe benchmark values for conversion and intraoperative complication rates were ≤ 4.0% and ≤ 1.4%, respectively. For postoperative complications, the benchmark was ≤ 28% for "any" and ≤ 18.0% for major complications. The R0 and complete TME rate benchmarks were both 100%, with a lymph node yield of > 18. The benchmark for rate of anastomotic insufficiency was < 12.5% and 90-day mortality was 0%. Readmission rates should not exceed 4%.

conclusionThis outcome analysis of patients with low comorbidity undergoing RLAR may serve as a reference to evaluate surgical performance in robotic rectum resection.

Indexed as

LaparoscopyProctectomyRectal NeoplasmsRobotic Surgical ProceduresBenchmarkingHumansPostoperative ComplicationsRectumRetrospective StudiesTreatment OutcomeBenchmarkingRectal cancerRectum resectionRLARRobotic low anterior rectum resectionRobotic surgery

Identifiers

PMID34244856
PMCPMC8346389
OpenAlexW3179480603

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.