Evidence map›Paper›PMID 33088163›Full record

ArticleWorld journal of gastroenterology2020

Risk prediction rule for advanced neoplasia on screening colonoscopy for average-risk individuals.

Ala I Sharara, Ali El Mokahal, Ali H Harb, Natalia Khalaf, Fayez S Sarkis, Mustapha M El-Halabi, Nabil M Mansour, Ahmad Malli, Robert Habib

Open access · greenAbstract read
In one paragraph

Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The Natural History of Incidental Colonic Diverticulosis on Screening Colonoscopy.Canadian journal of gastroenterology & hepatology · 2018
    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

9 authors at 3 institutions in 2 countries.

Ala I ShararaDivision of Gastroenterology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon. as08@aub.edu.lb.
Ali El MokahalDivision of Gastroenterology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon.
Ali H HarbDigestive and Liver Diseases Division, University of Texas-Southwestern, Dallas, TX 75390, United States.
Natalia KhalafDivision of Gastroenterology, Department of Internal Medicine, Baylor College of Medicine, Houston, TX 77030, United States.
Fayez S SarkisDivision of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, MO 66160, United States.
Mustapha M El-HalabiDivision of Gastroenterology, St Elizabeth Healthcare, Crestview Hills, KY 41017, United States.
Nabil M MansourDepartment of Internal Medicine, Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, TX 77030, United States.
Ahmad MalliGastroenterology, Hennepin Healthcare, Minneapolis, MN 55404, United States.
Robert HabibDepartment of Internal Medicine, American University of Beirut, Beirut 1107 2020, Lebanon.
American University of Beirut · LBBaylor College of Medicine · USUniversity of Kansas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn resource-limited countries, risk stratification can be used to optimize colorectal cancer screening. Few prospective risk prediction models exist for advanced neoplasia (AN) in true average-risk individuals.

aimTo create and internally validate a risk prediction model for detection of AN in average-risk individuals.

methodsProspective study of asymptomatic individuals undergoing first screening colonoscopy. Detailed characteristics including diet, exercise and medications were collected. Multivariate logistic regression was used to elucidate risk factors for AN (adenoma ≥1 cm, villous histology, high-grade dysplasia or carcinoma). The model was validated through bootstrapping, and discrimination and calibration of the model were assessed.

results980 consecutive individuals (51% F; 49% M) were enrolled. Adenoma and AN detection rates were 36.6% (F 29%: M 45%;

conclusionThe prevalence of adenoma and AN in average-risk Lebanese individuals is similar to the West. Age, smoking, and BMI are important predictors of AN, with obesity being particularly powerful. Though external validation is needed, this model provides an important platform for improved risk-stratification for screening programs in regions where universal screening is not currently employed.

Indexed as

AdenomaColorectal NeoplasmsAdultColonoscopyEarly Detection of CancerHumansMass ScreeningProspective StudiesRisk FactorsAdenomaCancerColonRisk factors

Identifiers

PMID33088163
PMCPMC7545395
OpenAlexW3087930104

What OpenQuestion holds

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LicenceCC BY-NC
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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.