Evidence map›Paper›PMID 42859774›Full record

ArticleSurgery open science2026

Robot assisted end-to-end hand-sewn anastomosis after segmental colectomy for transverse and splenic flexure tumors: A preliminary cohort study.

Giuseppe Cavallaro, Angelo Iossa, Cesare Stabilini, Sara Capoccia Giovannini, Alessia Fassari, Alessandra Micalizzi, Sara Giovampietro, Francesco De Angelis, Daniele Crocetti, Paolo Sapienza

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgery open science, 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

10 authors.

Giuseppe CavallaroDepartment of Surgery, Sapienza University, Rome, Italy.
Angelo IossaDepartment of Surgery, Sapienza University, Rome, Italy.
Cesare StabiliniDepartment of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.
Sara Capoccia GiovanniniDepartment of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.
Alessia FassariGeneral Surgery Unit, Centre Hospitalier de Rennes, Rennes, France.
Alessandra MicalizziGeneral Surgery Unit, ICOT Hospital, Latina, Italy.
Sara GiovampietroGeneral Surgery Unit, ICOT Hospital, Latina, Italy.
Francesco De AngelisDepartment of Surgery, Sapienza University, Rome, Italy.
Daniele CrocettiDepartment of Surgery, Sapienza University, Rome, Italy.
Paolo SapienzaDepartment of Surgery, Sapienza University, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors of the transverse colon and splenic flexure represent a technically demanding subset of colorectal cancer, characterized by complex anatomy. Robotic approach, with complete mesocolic excision (CME) and the use of indocyanine green (ICG) fluorescence may confer advantages for these complex resections. Furthermore, end to end hand-sewn anastomosis can potentially overcome troubles of mechanical side to side anastomosis. This retrospective single-center observational study reports 19 consecutive patients undergoing robotic segmental resection: 10 for transverse colon cancer and 9 for splenic flexure cancer. All procedures were performed with CME and ICG-guided hand-sewn intracorporeal end-to-end anastomosis. Postoperative complication rate was 10.6% (

Indexed as

Complete mesocolic excisionFluorescence angiography, anastomosisIndocyanine greenRobotic colectomySplenic flexure cancerTransverse colon cancer

Identifiers

PMID42859774
PMCPMC13653479

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.