Evidence map›Paper›PMID 42113403›Full record

ArticleUpdates in surgery2026

A risk-based framework to support conversion decision-making during minimally invasive left pancreatectomy: results from a multicentre registry.

Salvatore Paiella, Matteo De Pastena, Erica Secchettin, Stefano Partelli, Niccolò Napoli, Giovanni Capretti, Sergio Alfieri, Giovanni Butturini, Alessandro Esposito, Massimo Falconi and 4 more

Abstract read
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In one paragraph

Article in Updates in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Salvatore PaiellaUniversity of Verona, Verona, Italy. Salvatore.paiella@univr.it.ORCID http://orcid.org/0000-0001-6893-8618
Matteo De PastenaPancreatic Surgery Unit, Department of Surgery, University of Verona Hospital Trust, Policlinico GB Rossi, Piazzale Scuro 10, 37134, Verona, Italy.
Erica SecchettinDepartment of Surgery, University of Verona Hospital Trust, University of Verona, Verona, Italy.
Stefano PartelliPancreatic and Transplantation Surgical Unit, IRCCS San Raffaele Hospital, Vita-Salute University, Milan, Italy.
Niccolò NapoliDivision of General and Transplant Surgery, University of Pisa, Cisanello Hospital, Via Paradisa, 2, Pisa, Italy.
Giovanni CaprettiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Sergio AlfieriDepartment of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Giovanni ButturiniUnit of HPB Surgery, Pederzoli Hospital, Peschiera del Garda, Verona, Italy.
Alessandro EspositoPancreatic Surgery Unit, Department of Surgery, University of Verona Hospital Trust, Policlinico GB Rossi, Piazzale Scuro 10, 37134, Verona, Italy.
Massimo FalconiPancreatic and Transplantation Surgical Unit, IRCCS San Raffaele Hospital, Vita-Salute University, Milan, Italy.
Roberto SalviaUniversity of Verona, Verona, Italy.
Alessandro ZerbiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Ugo BoggiDivision of General and Transplant Surgery, University of Pisa, Cisanello Hospital, Via Paradisa, 2, Pisa, Italy. ugo.boggi@unipi.it.
IGOMIPS Registry Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive left pancreatectomy (MILP) is increasingly adopted worldwide, but conversion to open surgery still occurs and is associated with poorer postoperative outcomes. Tools to identify patients at increased risk of conversion are limited. This multicentre registry-based study included patients undergoing laparoscopic (LLP) or robot-assisted (RLP) MILP within the IGOMIPS registry. Predictors of conversion were analysed using multivariable logistic regression. A simple preoperative risk score, the modified Conversion Risk Score (mCRS), was derived from independent predictors of conversion. We explored the interaction between preoperative risk, intraoperative complexity, and center-level variability. Of the 2127 MILPs included, 1235 (58.1%) were performed laparoscopically, and 892 (42.9%) were robot-assisted. Conversion occurred in 180 cases (8.5%) and was more frequent during LLP than RLP (11.8% vs 3.8%). Age ≥ 61 years, tumour diameter ≥ 35 mm, and preoperative suspicion of pancreatic malignancy were independently associated with conversion and formed the mCRS (range 0-5). Conversion rates increased progressively with higher mCRS values (ranging from 3.5% to 20.6%). When a high preoperative risk was combined with intraoperative complexity, the probability of conversion increased further (up to 19%). Differences in conversion rates between centres were primarily explained by case volume. In this large multicentre cohort, conversion during MILP was associated with patient age, tumour size, and suspected malignancy. The proposed mCRS, combined with intraoperative cues, may support risk stratification and timely intraoperative decision-making.

Indexed as

laparoscopyLeft pancreatectomyMinimally-invasive surgeryPancreatectomyRobotic surgery

Identifiers

PMID42113403

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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.