Evidence map›Paper›PMID 36765093›Full record

ArticleNPJ digital medicine2023

Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach.

Ting-Yu Lin, Sherry Yueh-Hsia Chiu, Ling-Chun Liao, Sam Li-Sheng Chen, Han-Mo Chiu, Tony Hsiu-Hsi Chen

Abstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Digital Twin Technology In Radiology.Journal of imaging informatics in medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  11. 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

6 authors.

Ting-Yu Lin *Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Sherry Yueh-Hsia Chiu *Department of Health Care Management, College of Management, Chang Gung University, Taoyuan, Taiwan.
Ling-Chun LiaoDepartment of Pharmacy, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan.
Sam Li-Sheng ChenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Han-Mo ChiuDepartments of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. hanmochiu@ntu.edu.tw.
Tony Hsiu-Hsi ChenInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. chenlin@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 111-2118-M-002 -004 -MY2Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) MOST 110-2811-M-002 -633
6 · The paper itself

Abstract

Evaluating the magnitude of overdiagnosis associated with stool-based service screening for colorectal cancer (CRC) beyond a randomized controlled trial is often intractable and understudied. We aim to estimate the proportion of overdiagnosis in population-based service screening programs for CRC with the fecal immunochemical test (FIT). The natural process of overdiagnosis-embedded disease was first built up to learn transition parameters that quantify the pathway of non-progressive and progressive screen-detected cases calibrated with sensitivity, while also taking competing mortality into account. The Markov algorithms were then developed for estimating these transition parameters based on Taiwan FIT service CRC screening data on 5,417,699 residents aged 50-69 years from 2004 to 2014. Following the digital twin design with the parallel universe structure for emulating the randomized controlled trial, the screened twin, mirroring the control group without screening, was virtually recreated by the application of the above-mentioned trained parameters to predict CRC cases containing overdiagnosis. The ratio of the predicted CRCs derived from the screened twin to the observed CRCs of the control group minus 1 was imputed to measure the extent of overdiagnosis. The extent of overdiagnosis for invasive CRCs resulting from FIT screening is 4.16% (95% CI: 2.61-5.78%). The corresponding figure is increased to 9.90% (95% CI: 8.41-11.42%) for including high grade dysplasia (HGD) and further inflated to 15.83% (95% CI: 15.23-16.46%) when the removal adenoma is considered. The modest proportion of overdiagnosis modelled by the digital twin method, dispensing with the randomized controlled trial design, suggests the harm done to population-based FIT service screening is negligible.

Identifiers

PMID36765093
PMCPMC9918445

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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.