Evidence map›Paper›PMID 31824887›Full record

ArticleAnnals of surgical treatment and research2019

Validation of an automated adenoma detection rate calculating system for quality improvement of colonoscopy.

Dae Kyung Sohn, Il Won Shin, Jeonghwa Yeon, Jin Yoo, Byung Chang Kim, Bun Kim, Chang Won Hong, Kyung Su Han

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical treatment and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-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

6 citing papers in PubMed, 12 citations in OpenAlex.

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  6. Measuring and Improving Quality of Colonoscopy for Colorectal Cancer Screening.Techniques and innovations in gastrointestinal endoscopy · 2022
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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

8 authors at 2 institutions in 2 countries.

Dae Kyung SohnCenter for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-3296-6646
Il Won ShinInformation Technology Team, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Jeonghwa YeonEndoscopy Room, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Jin YooEndoscopy Room, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Byung Chang KimCenter for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Bun KimCenter for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Chang Won HongCenter for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Kyung Su HanCenter for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
National Cancer Center · KRNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to validate an automated calculating system developed for determining the adenoma detection rate (ADR).

methodsTo calculate the automated ADR, the data linking processes were as follows: (1) matching the selected colonoscopy results with the pathological results, (2) matching the polyp number from colonoscopy with that from pathology and confirming the histopathological results of each colonic polyp, and (3) confirming the histopathological results, especially the adenoma status of each colonic polyp. To verify the accuracy of the automated ADR calculating system, we manually calculated the ADR for 3 months through medical record review. Accuracy was calculated by measuring the error rate for each value. The cause of error was analyzed by additional order and chart review.

resultsAfter excluding 318 cases, 2,543 patients (1,351 men and 1,192 women; median age, 57.9 years) who underwent colonoscopy were included in this study. When the automated calculating system was used, polyps were found in 1,336 cases (52.6%) and adenomas were found in 1,003 cases (39.4%). When the manual calculating system was used, polyps were found in 1,327 cases (52.2%) and adenomas were found in 1,003 cases (39.4%). The accuracies of the polyp detection rate and ADR according to the automated calculating system were 99.3% and 100%, respectively.

conclusionWe developed a system to automatically calculate the ADR by extracting hospital electronic medical record results and verified that it provided satisfactory results. It may help to improve colonoscopy quality.

Indexed as

ColonColonoscopyColorectal neoplasmsElectronic health recordsQuality improvement

Identifiers

PMID31824887
PMCPMC6893215
OpenAlexW2993105528

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.