Evidence map›Paper›PMID 36509949›Full record

ArticleSurgical endoscopy2023

Robotic major and minor hepatectomy: critical appraisal of learning curve and its impact on outcomes.

Ali Ahmad, Hadley D Freeman, Sarah D Corn

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Robotic Hepatectomy for Primary Liver Cancer.Annals of surgical oncology · 2026
    Review
  7. Article
  8. Article
  9. Article
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  15. Minimal Invasive Versus Open Surgery for Colorectal Liver Metastases: A Multicenter German StuDoQ|Liver Registry-Based Cohort Analysis in Germany.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
  16. 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

3 authors at 1 institution in 1 country.

Ali AhmadDepartment of Surgical Oncology, School of Medicine-Wichita, University of Kansas, 818 N Emporia Ave, Wichita, KS, 67214, USA. ali.waraich@gmail.com.ORCID 0000-0002-1257-3661
Hadley D FreemanDepartment of Surgical Oncology, School of Medicine-Wichita, University of Kansas, 818 N Emporia Ave, Wichita, KS, 67214, USA.
Sarah D CornDepartment of Surgical Oncology, School of Medicine-Wichita, University of Kansas, 818 N Emporia Ave, Wichita, KS, 67214, USA.
University of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic hepatectomy has gained increasing acceptance across the US. Although the robotic approach offers significant technical advantages, it is still bound by the individual surgeon's learning curve. Proficiency in this approach should theoretically lead to improved peri-operative outcomes.

methodsBetween 2017 and 2020, data on 148 consecutive robotic hepatectomies performed by a single surgeon was retrospectively analyzed. Using cumulative sum (CUSUM) method, intraoperative blood loss (EBL) and operative time were used to assess learning curves for robotic major (n = 58) and minor (n = 90) hepatectomy patients. Perioperative outcomes were compared in regards with proficiency.

resultsProficiency for robotic major and minor hepatectomy was achieved after 22 cases and 34 cases, respectively. No significant differences were observed in patient demographics or tumor characteristics. For robotic major hepatectomy, when compared to early experience, proficiency was associated with a significant improvement in mean EBL (242 mL vs 118 mL, p = 0.0004), operative time (330 min vs 247 min, p = 0.0002), decreased overall complication rate (23% vs 3%, p = 0.039), and length of hospital stay (5.7 days vs 4.1 days, p = 0.004). No difference in conversion rate, mortality or 30 day readmission was seen. For robotic minor hepatectomy, proficiency was associated with significantly decreased mean EBL (115 mL vs 54 mL, p = 0.005), operative time (168 vs 125 min, p = 0.014), and length of hospital stay (2.8 days vs 2.1 days, p = 0.021). No difference was observed in conversion rate, overall complications, mortality or 30 day readmission.

conclusionIn the modern era, robotic hepatectomy offers a safe approach with excellent perioperative outcomes. Post learning curve proficiency is associated with significant improvements in perioperative outcomes in both major and minor hepatectomy. Results from our study can serve as a guide to surgeons and programs looking to adopt this technique.

Indexed as

RoboticsRobotic Surgical ProceduresHepatectomyHumansLearning CurveRetrospective StudiesHepatectomyLearning-curveLiverOutcomesProficiencyRobotic

Identifiers

PMID36509949
OpenAlexW4311182206

What OpenQuestion holds

Textmetadata
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.