Evidence map›Paper›PMID 39711656›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2024

Robotic Versus Laparoscopic Liver Resection: A Nationwide Propensity Score Matched Analysis.

Gabriela Pilz da Cunha, Jasper P Sijberden, Susan van Dieren, Paul Gobardhan, Daan J Lips, Türkan Terkivatan, Hendrik A Marsman, Gijs A Patijn, Wouter K G Leclercq, Koop Bosscha and 21 more

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. International Benchmark Values for Robotic Right Hepatectomy: Multicenter Study From 22 Expert Centers.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Gabriela Pilz da CunhaDepartment of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jasper P SijberdenDepartment of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Susan van DierenDepartment of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Paul GobardhanDepartment of Surgery, Amphia Medical Center, Breda, The Netherlands.
Daan J LipsDepartment of Surgery, Medical Spectrum Twente, Enschede, The Netherlands.
Türkan TerkivatanDepartment of Surgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands.
Hendrik A MarsmanDepartment of Surgery, OLVG, Amsterdam, The Netherlands.
Gijs A PatijnDepartment of Surgery, Isala, Zwolle, The Netherlands.
Wouter K G LeclercqDepartment of Surgery, Maxima Medisch Centrum, Veldhoven, The Netherlands.
Koop BosschaDepartment of Surgery, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
J Sven D MieogDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Peter B van den BoezemDepartment of Surgery, Radboud Medical Center, Nijmegen, The Netherlands.
Maarten VermaasDepartment of Surgery, Ijsselland Hospital, Capelle aan den Ijssel, The Netherlands.
Niels F M KokDepartment of Surgery, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Eric J T BeltDepartment of Surgery, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Marieke T de BoerDepartment of Surgery, University Medical Center Groningen, Groningen, The Netherlands.
Wouter J M DerksenDepartment of Surgery, St. Antonius Hospital, Nieuwegein, The Netherlands.
Hans TorrengaDepartment of Surgery, Deventer Ziekenhuis, Deventer, The Netherlands.
Paul M VerheijenDepartment of Surgery, Meander Medical Center, Amersfoort, The Netherlands.
Steven J OosterlingDepartment of Surgery, Spaarne Gasthuis, Hoofddorp, The Netherlands.
Arjen M RijkenDepartment of Surgery, Amphia Medical Center, Breda, The Netherlands.
Marielle M E CoolsenDepartment of Surgery, Maastricht UMC, Maastricht, The Netherlands.
Mike S L LiemDepartment of Surgery, Medical Spectrum Twente, Enschede, The Netherlands.
T C Khé TranDepartment of Surgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands.
Michael F GerhardsDepartment of Surgery, OLVG, Amsterdam, The Netherlands.
Vincent NieuwenhuijsDepartment of Surgery, Isala, Zwolle, The Netherlands.
Mohammad Abu HilalDepartment of Surgery, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy.
Marc G BesselinkDepartment of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Ronald M van DamDepartment of Surgery, Maastricht UMC, Maastricht, The Netherlands.
Jeroen HagendoornDepartment of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
Rutger-Jan SwijnenburgDepartment of Surgery, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare nationwide outcomes of robotic liver resection (RLR) with laparoscopic liver resection (LLR). Background: Minimally invasive liver resection is increasingly performed using the robotic approach as this could help overcome inherent technical limitations of laparoscopy. It is unknown if this translates to improved patient outcomes. Methods: Data from the mandatory Dutch Hepatobiliary Audit were used to compare perioperative outcomes of RLR and LLR in 20 centers in the Netherlands (2014-2022). Propensity score matching (PSM) was used to mitigate selection bias. Sensitivity analyses assessed the impact of the learning curve (≥50 procedures for LLR and ≥25 procedures for RLR), concurrent noncholecystectomy operations, high-volume centers, and conversion on outcomes. Results: Overall, 792 RLR and 2738 LLR were included. After PSM (781 RLR vs 781 LLR), RLR was associated with less blood loss (median: 100 mL [interquartile range (IQR): 50-300] vs 200 mL [IQR: 50-500], Conclusion: In this nationwide analysis, RLR was associated with a reduction in conversion, blood loss and length of hospital stay without compromising patient safety, also when excluding a learning curve effect. The benefits of RLR seem to be mostly related to a reduction in conversions.

Indexed as

hepatectomylaparoscopyminimally invasivepropensity score matchingrobotic liver surgery

Identifiers

PMID39711656
PMCPMC11661729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.