Evidence map›Paper›PMID 38625550›Full record

ArticleInternational journal of colorectal disease2024

Bowel preparation for elective colorectal resection: multi-treatment machine learning analysis on 6241 cases from a prospective Italian cohort.

Marco Catarci, Stefano Guadagni, Francesco Masedu, Giacomo Ruffo, Massimo Giuseppe Viola, Felice Borghi, Gianluca Garulli, Felice Pirozzi, Paolo Delrio, Raffaele De Luca and 3 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of colorectal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

13 authors at 10 institutions in 1 country.

Marco CatarciGeneral Surgery Unit, Sandro Pertini Hospital, ASL Roma 2, Rome, Italy.
Stefano GuadagniGeneral Surgery Unit, Università degli Studi dell'Aquila, Via Vetoio, snc, 67100, L'Aquila, Italy. stefano.guadagni@univaq.it.ORCID http://orcid.org/0000-0001-8525-084X
Francesco MaseduDepartment of Biotechnological and Applied Clinical Sciences, Università degli Studi dell'Aquila, L'Aquila, Italy.
Giacomo RuffoGeneral Surgery Unit, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Verona, VR, Italy.
Massimo Giuseppe ViolaGeneral Surgery Unit, Cardinale G. Panico Hospital, Tricase, LE, Italy.
Felice BorghiOncologic Surgery Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Gianluca GarulliGeneral Surgery Unit, Infermi Hospital, Rimini, Italy.
Felice PirozziGeneral Surgery Unit, ASL Napoli2 , Nord, Pozzuoli, NA, Italy.
Paolo DelrioColorectal Surgical Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, Fondazione Giovanni Pascale IRCCS-Italia", Naples, Italy.
Raffaele De LucaDepartment of Surgical Oncology, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Gianandrea BaldazziGeneral Surgery Unit, ASST Ovest Milanese, Legnano, MI, Italy.
Marco ScatizziGeneral Surgery Unit, Serristori Hospital, Santa Maria Annunziata &, Florence, Italy.
Italian ColoRectal Anastomotic Leakage (iCral) study group
University of L'Aquila · ITAziende Socio Sanitarie Territoriale Ovest MilaneseSanta Maria Nuova Hospital · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITOspedale Infermi di Rimini · ITIstituto Tumori Bari · ITASL Roma · ITCandiolo Cancer Institute · ITInstitute of Applied Science and Intelligent Systems · ITOspedale Sacro Cuore Don Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent evidence concerning bowel preparation before elective colorectal surgery is still controversial. This study aimed to compare the incidence of anastomotic leakage (AL), surgical site infections (SSIs), and overall morbidity (any adverse event, OM) after elective colorectal surgery using four different types of bowel preparation.

methodsA prospective database gathered among 78 Italian surgical centers in two prospective studies, including 6241 patients who underwent elective colorectal resection with anastomosis for malignant or benign disease, was re-analyzed through a multi-treatment machine-learning model considering no bowel preparation (NBP; No. = 3742; 60.0%) as the reference treatment arm, compared to oral antibiotics alone (oA; No. = 406; 6.5%), mechanical bowel preparation alone (MBP; No. = 1486; 23.8%), or in combination with oAB (MoABP; No. = 607; 9.7%). Twenty covariates related to biometric data, surgical procedures, perioperative management, and hospital/center data potentially affecting outcomes were included and balanced into the model. The primary endpoints were AL, SSIs, and OM. All the results were reported as odds ratio (OR) with 95% confidence intervals (95% CI).

resultsCompared to NBP, MBP showed significantly higher AL risk (OR 1.82; 95% CI 1.23-2.71; p = .003) and OM risk (OR 1.38; 95% CI 1.10-1.72; p = .005), no significant differences for all the endpoints were recorded in the oA group, whereas MoABP showed a significantly reduced SSI risk (OR 0.45; 95% CI 0.25-0.79; p = .008).

conclusionsMoABP significantly reduced the SSI risk after elective colorectal surgery, therefore representing a valid alternative to NBP.

Indexed as

Anastomotic LeakColorectal NeoplasmsAnastomosis, SurgicalHumansItalyMachine LearningProspective StudiesAnastomotic leakageColorectal surgeryMechanical bowel preparationOral antibioticsSurgical site infections

Identifiers

PMID38625550
PMCPMC11021318
OpenAlexW4394853502

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.