Evidence map›Paper›PMID 39692008›Full record

ArticleAnnals of surgery2026

External Validation of the International Study Group for Pancreatic Surgery Complexity Grading System for Minimally Invasive Pancreatoduodenectomy: Insights From the IGOMIPS Registry.

Niccolò Napoli, Greta Donisi, Emanuele Federico Kauffmann, Michael Ginesini, Mohammad Abu Hilal, Gian Luca Baiocchi, Umberto Bracale, Alberto Brolese, Giovanni Butturini, Roberto Coppola and 20 more

Abstract readValidation StudyMulticenter Study
In one paragraph

Article in Annals of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

30 authors.

Niccolò NapoliDivision of General and Transplant Surgery, University of Pisa, Pisa, Italy.ORCID 0000-0003-2538-9158
Greta DonisiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Emanuele Federico KauffmannDivision of General and Transplant Surgery, University of Pisa, Pisa, Italy.
Michael GinesiniDivision of General and Transplant Surgery, University of Pisa, Pisa, Italy.
Mohammad Abu HilalDepartment of Surgery, University of Jordan, Amman, Jordan.
Gian Luca BaiocchiDivision of General Surgery, ASST Cremona, Cremona, Italy.
Umberto BracaleDepartment of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.
Alberto BroleseDepartment of General Surgery and Hepato-Pancreato-Biliary (HPB) Unit-APSS, Trento, Italy.
Giovanni ButturiniHepato-Biliary and Pancreatic Surgery Unit, Pederzoli Hospital, Peschiera del Garda, Verona, Italy.
Roberto CoppolaFondazione Campus Biomedico University, Rome, Italy.
Andrea CorattiDepartment of General and Emergency Surgery and Digestive Diseases, USL Toscana Sud Est, Misericordia Hospital, School of Robotic Surgery, Grosseto, Italy.
Raffaele Dalla ValleHepatobiliary Surgery Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Fabrizio Di BenedettoHepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy.
Giorgio ErcolaniDepartment of Medical and Surgical Sciences, Unit of General Surgery, Morgagni-Pierantoni Hospital in Forlì, University of Bologna, Bologna, Italy.
Giovanni FerrariDepartment of Oncological and Minimally Invasive Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Gianluca GarulliUnit of General, Oncologic, Robotic, and Minimally Invasive Surgery, Infermi Hospital, Azienda Unica della Romagna, Rimini, Italy.
Elio JovineAlma Mater Studiorum, University of Bologna and IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Michele MazzolaDepartment of Oncological and Minimally Invasive Surgery, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Riccardo MemeoDepartment of Hepato-Pancreatic-Biliary Surgery, "F. Miulli" General Regional Hospital, Acquaviva Delle Fonti, Department of Medicine and Surgery, LUM University, Casamassima, Bari, Italy.
Carlo MolinoComplex Operative Unit of General and Oncologic Surgery I with High Specialization in Pancreatic Surgery, AORN A. Cardarelli, Naples, Italy.
Luca MoraldiDivision of Hepato-Biliary-Pancreatic Surgery, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Luca MorelliDepartment of Translational Research and New Technologies in Medicine and Surgery, General Surgery Unit, University of Pisa, Pisa, Italy.
Roberto SalviaUnit of General and Pancreatic Surgery - Verona Pancreas Institute, Department of Engineering for Innovation Medicine (DIMI), University of Verona, Verona, Italy.
Giovanni Domenico TebalaDepartment of Digestive and Emergency Surgery, S. Maria Hospital Trust, Terni, Italy.
Vincenzo TondoloDigestive Surgery Unit, Department of Translational Medicine, Catholic University of the Sacred Heart, Rome, Italy.
Roberto Ivan TroisiDepartment of Clinical Medicine and Surgery, Division of HBP, Minimally Invasive and Robotic Surgery Transplantation Center, Federico II University Hospital, Naples, Italy.
Massimo Giuseppe ViolaDepartment of Surgery, Cardinale G. Panico Hospital,Tricase (LE), Italy.
Marco VivarelliDivision of Hepatobiliary, Pancreatic, and Transplantation Surgery, Polytechnic University of Marche, Ospedali Riuniti delle Marche, Ancona, Italy.
Alessandro ZerbiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Ugo BoggiDivision of General and Transplant Surgery, University of Pisa, Pisa, Italy.ORCID 0000-0002-7505-5896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate the International Study Group for Pancreatic Surgery (ISGPS) complexity grading system for minimally invasive pancreaticoduodenectomy (MIPD).

backgroundAlthough concerns about patient safety persist, MIPD is gaining popularity. The ISGPS recently introduced a difficulty grading system to improve patient selection by aligning procedural complexity with surgeon and center expertise.

methodsData from MIPD cases reported in the IGOMIPS registry (October 2019-February 2024) were analyzed, with severe postoperative complications as the primary outcome. Logistic regression was used to identify risk factors for complications.

resultsOf the 771 MIPD cases, 426 (55.3%) were analyzed. A pancreatic duct size ≤3 mm was the only significant risk factor for severe complications (odds ratio = 2.22, P = 0.0001). Most cases (n = 255; 59.9%) were classified as grade C complexity, whereas 22 (5.1%) were classified as grade A. Severe postoperative complications increased with complexity (grade A, 31.8%; grade B, 36.3%; grade C, 48.6%; P = 0.0091). For grade A complexity, the outcomes were consistent across surgeons and centers. Grade B outcomes were similar between grade B and C centers but superior to grade A centers. In grade C cases, outcomes were comparable between grade A and B centers, with improvements at grade C centers. Grade A ISGPS experience correlated strongly with mismatches between planned and performed procedures (grade A, 15.0%; grade B, 3.0%; grade C, 3.1%; P < 0.0001), including total pancreatectomy (grade A, 11.5%; grade B, 1.2%; grade C, 3.1%; P = 0.0005).

conclusionsThe ISGPS complexity grading system effectively predicted MIPD outcomes, supporting better patient selection and alignment of complexity with surgical expertise.

Indexed as

Minimally Invasive Surgical ProceduresPancreaticoduodenectomyPostoperative ComplicationsAgedFemaleHumansMaleMiddle AgedRegistriesRisk FactorsIGOMPISISGPS complexity scorelaparoscopic pancreatoduodenectomyminimally invasive pancreatoduodenectomyrobotic pancreatoduodenectomy

Identifiers

PMID39692008
PMCPMC13258101

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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.