Evidence map›Paper›PMID 36542136›Full record

ArticleSurgical endoscopy2023

Left colonic localization, non-granular morphology, and pit pattern independently predict submucosal fibrosis of naïve colorectal neoplasms before endoscopic submucosal dissection.

Paolo Cecinato, Andrea Lisotti, Francesco Azzolini, Matteo Lucarini, Fabio Bassi, Pietro Fusaroli, Romano Sassatelli

Registry-linked trialAbstract read
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In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04780256 (Retrospective Study of Efficacy and Safety of the Endoscopic Removal of Cancerous and Precancerous Lesions of the Upper and Lower Digestive Tract), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT04780256 recruitingnot on this map

Retrospective Study of Efficacy and Safety of the Endoscopic Removal of Cancerous and Precancerous Lesions of the Upper and Lower Digestive Tract

TypeobservationalSponsorAzienda USL Reggio Emilia - IRCCSRan2021 to 2025Enrolled2,000ConditionsEndoscopic Mucosal Resection, Endoscopic Submucosal Dissection, Gastric Neoplasm, Colonic NeoplasmsArmsEndoscopic resection
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
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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

7 authors.

Paolo CecinatoUnit of Gastroenterology and Digestive Endoscopy, Azienda USL-IRCCS Di Reggio Emilia, 42123, Reggio Emilia, Italy. paolo.cecinato@ausl.re.it.
Andrea LisottiGastroenterology Unit, Hospital of Imola, University of Bologna, Imola, Italy.ORCID 0000-0002-7724-7402
Francesco AzzoliniUnit of Digestive Endoscopy, Vita Salute San Raffaele University, Milan, Italy.
Matteo LucariniUnit of Gastroenterology and Digestive Endoscopy, Azienda USL-IRCCS Di Reggio Emilia, 42123, Reggio Emilia, Italy.
Fabio BassiUnit of Gastroenterology and Digestive Endoscopy, Azienda USL-IRCCS Di Reggio Emilia, 42123, Reggio Emilia, Italy.
Pietro FusaroliGastroenterology Unit, Hospital of Imola, University of Bologna, Imola, Italy.
Romano SassatelliUnit of Gastroenterology and Digestive Endoscopy, Azienda USL-IRCCS Di Reggio Emilia, 42123, Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndoscopic submucosal dissection (ESD) represents the method of choice for removal of large colorectal neoplasms with suspected submucosal invasion. Presence and degree of submucosal fibrosis increases ESD duration and technical complexity, reduces the rate of curative resection and reduces safety profile. The aim of the study was to identify pre-procedural predictive factors of submucosal fibrosis in naïve colorectal neoplasms and to assess the impact of fibrosis on technical and clinical ESD outcomes.

methodsAll consecutive ESD performed between 2014 and 2021 were retrieved from a prospectively collected database. For each patient, pre-procedural, procedural, and post-procedural data were recorded. Logistic regression was used to identify pre-procedural predictive factors for submucosal fibrosis. The study was approved by Institutional Reviewer Board and registered on ClinicalTrials.gov (NCT04780256).

resultsOne hundred-74 neoplasms (46.6% rectum, 21.8% left colon, 31.6% right colon; size 34.9 ± 17.5 mm) from 169 patients (55.0% male; 69.5 ± 10.4-year-old) were included. 106 (60.9%) neoplasms were granular type laterally spreading tumor (LST-G), 42 (24.1%) non-granular (LST-NG), and 26 (14.9%) sessile; invasive pit pattern was observed in 90 (51.7%) lesions. No fibrosis (F0) mild (F1) and severe (F2) were observed in 62 (35.6%), 92 (52.9%), and 20 (11.5%), respectively. Left colonic localization [OR 3.23 (1.1-9.31)], LST-NG morphology [OR 5.84 (2.03-16.77)] and invasive pit pattern [OR 7.11 (3.11-16.23)] were independently correlated to submucosal fibrosis. Lower curative resection rate (59.8% vs. 93.5%, P < 0.001) was observed in case of fibrosis; the incidence of adverse events was higher in case of severe fibrosis (35.5%) compared to no (3.2%) and mild fibrosis (3.3%; P < 0.001). Procedure time was significantly impacted by presence and degree of fibrosis (P < 0.001).

conclusionsLeft colonic localization, LST-NG morphology, and invasive pit pattern are independent predictors of fibrosis, affecting technical and clinical ESD outcomes. Pre-procedural stratification is pivotal to estimate procedure time, required operator's experience and advanced dissection techniques. Cecinato P et al. Left colonic localization, non-granular morphology, and pit pattern independently predict submucosal fibrosis of colorectal neoplasms before endoscopic submucosal dissection. Surg Endosc. 2023.

Indexed as

Colorectal NeoplasmsEndoscopic Mucosal ResectionOral Submucous FibrosisAgedColonoscopyFemaleFibrosisHumansIntestinal MucosaMaleMiddle AgedRetrospective StudiesTreatment OutcomeAdenocarcinomaAdenomaColorectal cancerEndoscopic mucosal resectionScreening

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Registered trials

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.