Evidence map›Paper›PMID 40253361›Full record

Observational studyBMC gastroenterology2025

Assessment of the impact of power business intelligence on adenoma detection rate: a prospective observational trial.

Ya-Hui Hsu, Chia-Hsin Cheng, Ping-Hung Ko, Chia-Pei Tang, Chih-Wei Huang, Chih-Wei Tseng

Abstract readObservational Study
In one paragraph

Observational study in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

6 authors.

Ya-Hui HsuDivision of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Chia-Hsin ChengDivision of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Ping-Hung KoDivision of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Chia-Pei TangDivision of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Chih-Wei HuangDalin Tzu Chi Hospital Smart Medical Innovation Center, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Chih-Wei TsengDivision of Gastroenterology, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan. cwtseng2@gmail.com.

Funding

Buddhist Tzu Chi Medical Foundation TCMF-A110-07; TCMF-A 107-02-09 (112)Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation DTCRD111(2)-I-03
6 · The paper itself

Abstract

backgroundAdenoma detection rate (ADR) is a key quality indicator in colonoscopy, with low ADRs linked to higher risks of post-colonoscopy colorectal cancers. Feedback to endoscopists has been shown to improve ADRs; however, many feedback systems lack automation and real-time interactivity. This study evaluates the effectiveness of Power Business Intelligence (Power BI) on ADR enhancement.

methodsThis prospective observational study compared ADRs before (2021) and after (2022) the implementation of Power BI at Dalin Tzu Chi Hospital, Taiwan. Power BI automatically processed pathology data to calculate ADRs and provided real-time visual feedback on endoscopy quality indicators. A total of 4,306 colonoscopies performed by 10 endoscopists were analyzed. Logistic regression was employed to identify factors associated with ADR.

resultsThe overall ADR was high and comparable between the periods without and with Power BI (50.1% vs. 47.9%, P = 0.152). Individual performance was stable, though one low-performing endoscopist improved ADR by 20.0%. Adjusted multivariate analysis found no association between Power BI and ADR. Higher ADRs correlated with male gender (odds ratio [OR], 1.638; 95% confidence interval [CI], 1.438-1.864; p < 0.001), advanced age (OR, 1.642; CI, 1.439-1.875; p < 0.001), elevated BMI (OR, 1.642; CI, 1.439-1.875; p < 0.001), and positive stool occult blood (OR, 1.829; CI, 1.545-2.167; p < 0.001). Effective technical practices for improving ADRs included polyethylene glycol preparation (OR, 1.246; CI, 1.063-1.462; p = 0.007), water-method colonoscopy (OR, 1.321; CI, 1.134-1.538; p < 0.001), and withdrawal times ≥ 6 min (OR, 6.370; CI, 5.179-7.837; p < 0.001).

conclusionsThe use of Power BI was not associated with a higher ADR at a high-performing institution but may benefit low-performing endoscopists. Efforts should target behavioral changes in modifiable technical factors to drive meaningful ADR improvements.

Indexed as

AdenomaColonoscopyColorectal NeoplasmsAgedFemaleHumansMaleMiddle AgedProspective StudiesQuality Indicators, Health CareTaiwanAdenoma detection rateBusiness intelligenceColonoscopyFeedback

Identifiers

PMID40253361
PMCPMC12009522

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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.