Evidence map›Paper›PMID 32691384›Full record

ArticleDigestive diseases and sciences2021

Comparative Effectiveness of Commercial Bowel Preparations in Ambulatory Patients Presenting for Screening or Surveillance Colonoscopy.

Shashank Sarvepalli, Ari Garber, Carol A Burke, Niyati Gupta, Mounir Ibrahim, John McMichael, Gareth Morris-Stiff, Amit Bhatt, John Vargo, Maged Rizk and 1 more

Erratum issuedOpen access · greenAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Digestive diseases and sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Measuring and Improving Quality of Colonoscopy for Colorectal Cancer Screening.Techniques and innovations in gastrointestinal endoscopy · 2022
    Article
  3. The unmet needs for identifying the ideal bowel preparation.JGH open : an open access journal of gastroenterology and hepatology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Shashank Sarvepalli *Department of Gastroenterology and Hepatology, Baylor College of Medicine, 7200 Cambridge St, Suite 8B, Houston, TX, 77030, USA. shashank.sarvepalli@gmail.com.ORCID http://orcid.org/0000-0002-7513-7947
Ari Garber *Department of Gastroenterology and Hepatology, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Carol A BurkeDepartment of Gastroenterology and Hepatology, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Niyati GuptaDepartment of Internal Medicine, Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.
Mounir IbrahimDepartment of Internal Medicine, Hackensack Meridian Health Palisades Medical Center, North Bergen, NJ, USA.
John McMichaelDepartment of General Surgery, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Gareth Morris-StiffDepartment of General Surgery, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Amit BhattDepartment of Gastroenterology and Hepatology, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
John VargoDepartment of Gastroenterology and Hepatology, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Maged RizkDepartment of Gastroenterology and Hepatology, Digestive Disease and Surgical Institute, Cleveland Clinic, Cleveland, OH, USA.
Michael B RothbergDepartment of Internal Medicine, Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic · USBaylor College of Medicine · USHackensack Meridian Health · US

Funding

Research Training in GastroenterologyT32DK083266 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag, FASIHA KANWAL · 2010 to 2026
$2.3M
NIDDK NIH HHS T32 DK083266
6 · The paper itself

Abstract

backgroundInadequate bowel preparation (IBP) is associated with reduced adenoma detection. However, limited research has examined the impact of different commercial bowel preparations (CBPs) on IBP and adenoma detection. We aim to determine whether type of CBP used is associated with IBP or adenoma detection.

methodsWe retrospectively evaluated outpatient, screening or surveillance colonoscopies performed in the Cleveland Clinic health system between January 2011 and June 2017. IBP was defined by the Aronchick scale. Multilevel mixed-effects logistic regression was performed to assess the association between CBP type and IBP and adenoma detection. Fixed effects were defined as demographics, comorbidities, medication use, and colonoscopy factors. Random effect of individual endoscopist was considered.

resultsOf 153,639 colonoscopies, 75,874 records met inclusion criteria. Median age was 54; 50% were female; 17.7% had IBP, and adenoma detection rate was 32.6%. In adjusted analyses, compared to GoLYTELY, only NuLYTELY [OR 0.66 (95% CI 0.60, 0.72)] and SuPREP [OR 0.53 (95% CI 0.40, 0.69)] were associated with reduced IBP. Adenoma detection did not vary based on the type of bowel preparation used.

conclusionsAmong patients referred for screening or surveillance colonoscopy, choice of CBP was not associated with adenoma detection. Decisions about CBP should be based on other factors, such as tolerability, cost, or safety.

Indexed as

AdultAgedAmbulatory CareCatharticsColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeCatharticsAdenoma detection rateBowel preparation qualityCommercial bowel preparationInadequate bowel preparation

Identifiers

PMID32691384
PMCPMC8794767
OpenAlexW3044661425

What OpenQuestion holds

Textmetadata
LicenceTDM
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.