Evidence map›Paper›PMID 32624657›Full record

ArticleAnnals of gastroenterology

Implementing visual cues to improve the efficacy of screening colonoscopy: exploiting the Hawthorne effect.

Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Andrew Ofosu, Sabrina Brana, Tina Wexler, Tagore Sunkara, Andrea Culliford, Vinaya Gaduputi

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. 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
0.3field-weighted citation impact, top 40% 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. Observational
  2. 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

10 authors at 1 institution in 1 country.

Eric Omar ThenDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Christopher BranaDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Sriharsha DadanaDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Srikanth MaddikaDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Andrew OfosuDivision of Gastroenterology and Hepatology, The Brooklyn Hospital Center, Clinical Affiliate of The Mount Sinai Hospital, Brooklyn, NY (Andrew Ofosu, Tagore Sunkara), USA.
Sabrina BranaDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Tina WexlerDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Tagore SunkaraDivision of Gastroenterology and Hepatology, The Brooklyn Hospital Center, Clinical Affiliate of The Mount Sinai Hospital, Brooklyn, NY (Andrew Ofosu, Tagore Sunkara), USA.
Andrea CullifordDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Vinaya GaduputiDivision of Gastroenterology and Hepatology, SBH Health System, New York (Eric Omar Then, Christopher Brana, Sriharsha Dadana, Srikanth Maddika, Sabrina Brana, Tina Wexler, Andrea Culliford, Vinaya Gaduputi).
Brooklyn Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColonoscopy is the gold standard for colon cancer screening. Adenoma detection rate and a withdrawal time of 6 min are quality metrics to measure the efficacy of colonoscopy in colon cancer screening. The aim of our study was to exploit the Hawthorne effect in an effort to ensure adherence to a minimum 6-min withdrawal time and subsequently increase adenoma detection rate.

methodsThis was a retrospective single-center study where we reviewed the records of patients who underwent screening colonoscopy in 2015 and 2017. We divided our patient population into 2 groups. The first group of patients from 2015 underwent screening colonoscopy with no visual cues on the colonoscopy monitor. The second group of patients from 2017 had visual cues indicating withdrawal time on the colonoscopy monitor.

resultsScreening colonoscopy had a statistically significantly higher adenoma detection rate when performed with visual cues compared to without visual cues (25.3% vs. 19.45, P=0.04). Polyp detection rate was also higher in the group where visual cueing was used (52.9% vs. 22.9%, P<0.001). There were no statistically significant differences in actual withdrawal time or cecal intubation rates.

conclusionsVisual cues indicating withdrawal time are a useful intervention that results in an increased adenoma detection rate. Given its practicality and cost effectiveness, we recommend universally implementing visual cues to ensure adherence to a minimum 6-min withdrawal time.

Indexed as

Adenoma detection ratececal intubation ratecolonoscopycolorectal cancerpolyp detection rate

Identifiers

PMID32624657
PMCPMC7315716
OpenAlexW3025787206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.