Evidence map›Paper›PMID 36159193›Full record

ArticleGE Portuguese journal of gastroenterology2022

The Prediction of Inadequate Colon Capsule Cleansing: A Cohort Selection Guided by CC-CLEAR.

Rui de Sousa Magalhães, Pedro Boal Carvalho, Bruno Rosa, Maria João Moreira, José Cotter

Abstract read
In one paragraph

Article in GE Portuguese journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  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

5 authors.

Rui de Sousa MagalhãesGastroenterology Department, Hospital Senhora da Oliveira, Guimarães, Portugal.
Pedro Boal CarvalhoGastroenterology Department, Hospital Senhora da Oliveira, Guimarães, Portugal.
Bruno RosaGastroenterology Department, Hospital Senhora da Oliveira, Guimarães, Portugal.
Maria João MoreiraGastroenterology Department, Hospital Senhora da Oliveira, Guimarães, Portugal.
José CotterGastroenterology Department, Hospital Senhora da Oliveira, Guimarães, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In order to optimize the rate of adequate cleansing in colon capsule, it may be important to identify risk factors that can predict a suboptimal colon preparation. Aim: To define predictive factors for inadequate bowel preparation in colon capsule, according to CC-CLEAR (Colon Capsule CLEansing Assessment and Report). Methods: Retrospective, single center, cohort study. Patients' demographics, data, and quality of bowel preparation, according to CC-CLEAR, were collected retrospectively. A univariate analysis tested the association between covariables and the outcome, inadequate cleansing. The statistically significant variables were included in multivariable logistic binary regression, and a receiver operating characteristic curve (ROC) assessment was performed. Results: We included 167 consecutive colon capsules. Sixty-eight percent ( Conclusion: A previous inadequate colon cleansing, the use of chronic laxative and antidepressant, or impaired mobility are predictors of inadequate colon capsule cleansing, as assessed by the CC-CLEAR. These 4 predictors come together as a model enabling an accurate categorization of the patients at major risk of inadequate bowel preparation for capsule colonoscopy, with an excellent discriminative power and performance, which seems useful for the selection of patients for tailored optimization of the colon cleansing protocol.

Indexed as

CC-CLEARColon capsuleInadequate bowel cleansingPredictive factors

Identifiers

PMID36159193
PMCPMC9485925

What OpenQuestion holds

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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.