Evidence map›Paper›PMID 38855153›Full record

ReviewWorld journal of gastroenterology2024

Colorectal cancer screening: The value of early detection and modern challenges.

Jian Li, Zhi-Peng Li, Wen-Jie Ruan, Wei Wang

Registry-linked trialAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07261059 (Artificial Intelligence-assisted Integrated Care to Promote Colonoscopy Uptake in China), which is not on this map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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.

NCT07261059 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Artificial Intelligence-assisted Integrated Care to Promote Colonoscopy Uptake in China: a Cluster Randomized Controlled Trial

TypeinterventionalSponsorFudan UniversityRan2025 to 2026Enrolled400ConditionsColorectal Neoplasms, ColonoscopyArmsAI-assisted integrated care
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effect ofFrontiers in pharmacology · 2025
    Pooled it
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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

4 authors.

Jian LiDepartment of Interventional Oncology, Municipal Hospital Affiliated to Taizhou University, Taizhou 318000, Zhejiang Province, China.
Zhi-Peng LiSchool of Medicine, Taizhou University, Taizhou 318000, Zhejiang Province, China.
Wen-Jie RuanSchool of Medicine, Taizhou University, Taizhou 318000, Zhejiang Province, China.
Wei WangDepartment of Interventional Oncology, Municipal Hospital Affiliated to Taizhou University, Taizhou 318000, Zhejiang Province, China. westernfox000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The screening of colorectal cancer (CRC) is pivotal for both the prevention and treatment of this disease, significantly improving early-stage tumor detection rates. This advancement not only boosts survival rates and quality of life for patients but also reduces the costs associated with treatment. However, the adoption of CRC screening methods faces numerous challenges, including the technical limitations of both noninvasive and invasive methods in terms of sensitivity and specificity. Moreover, socioeconomic factors such as regional disparities, economic conditions, and varying levels of awareness affect screening uptake. The coronavirus disease 2019 pandemic further intensified these cha-llenges, leading to reduced screening participation and increased waiting periods. Additionally, the growing prevalence of early-onset CRC necessitates innovative screening approaches. In response, research into new methodologies, including artificial intelligence-based systems, aims to improve the precision and accessibility of screening. Proactive measures by governments and health organizations to enhance CRC screening efforts are underway, including increased advocacy, improved service delivery, and international cooperation. The role of technological innovation and global health collaboration in advancing CRC screening is undeniable. Technologies such as artificial intelligence and gene sequencing are set to revolutionize CRC screening, making a significant impact on the fight against this disease. Given the rise in early-onset CRC, it is crucial for screening strategies to continually evolve, ensuring their effectiveness and applicability.

Indexed as

Colorectal NeoplasmsCOVID-19Early Detection of CancerArtificial IntelligenceColonoscopyHumansMass ScreeningQuality of LifeSARS-CoV-2Colorectal cancerEarly detectionEconomic implicationsNoninvasive testsQuality of lifeSurvival ratesTechnical challengesTherapeutic modalities

Identifiers

PMID38855153
PMCPMC11154673

What OpenQuestion holds

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Registered trials

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.