Evidence map›Paper›PMID 36071414›Full record

ArticleBMC cancer2022

Validation of the Asia-Pacific colorectal screening score and its modified versions in predicting colorectal advanced neoplasia in Chinese population.

Yunxin Kong, Lin Zhuo, Dong Dong, Lang Zhuo, Peian Lou, Ting Cai, Siting Chen, Jianqiang Pan, Yihuan Gao, Hang Lu and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Colorectal cancer early screening: Dilemmas and solutions.World journal of gastroenterology · 2025
    Article
  6. Article
  7. Development of a risk score for colorectal cancer screening.Gastroenterology and hepatology from bed to bench · 2025
    Article
  8. 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

14 authors at 3 institutions in 1 country.

Yunxin Kong *Cancer Prevention office, Xuzhou Cancer Hospital, Huancheng Road 131, Gulou District, Xuzhou, 221000, Jiangsu, China.
Lin Zhuo *Endocrinology and metabolism, Tianjin Medical University General Hospital, Tianjin, 300000, China.
Dong DongCancer Prevention office, Xuzhou Cancer Hospital, Huancheng Road 131, Gulou District, Xuzhou, 221000, Jiangsu, China. ddong2002@163.com.
Lang ZhuoSchool of Public Health, Xuzhou Medical University, Tong Shan Road 209, Yunlong District, Xuzhou, 221004, Jiangsu, China. zhuolang@xzhmu.edu.cn.
Peian LouDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, 221004, China.
Ting CaiSchool of Management, Xuzhou Medical University, Xuzhou, Jiangsu Province, 221004, China.
Siting ChenSchool of Management, Xuzhou Medical University, Xuzhou, Jiangsu Province, 221004, China.
Jianqiang PanSchool of Management, Xuzhou Medical University, Xuzhou, Jiangsu Province, 221004, China.
Yihuan GaoSchool of Public Health, Xuzhou Medical University, Tong Shan Road 209, Yunlong District, Xuzhou, 221004, Jiangsu, China.
Hang LuSchool of Management, Xuzhou Medical University, Xuzhou, Jiangsu Province, 221004, China.
Yue MaCancer Prevention office, Xuzhou Cancer Hospital, Huancheng Road 131, Gulou District, Xuzhou, 221000, Jiangsu, China.
Zongmei DongDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, 221004, China.
Xiaohu LuoToxicology Lab, Xuzhou Cancer Hospital, Xuzhou, 221000, China.
Hongying ZhaoDepartment of Medical Oncology, Xuzhou Cancer Hospital, Xuzhou, 221000, China.
Xuzhou Medical College · CNJiangsu University · CNXuzhou Cancer Hospital · CN

Funding

CAMS Innovation Fund for Medical Sciences 2017-I2M-1-006
6 · The paper itself

Abstract

backgroundColorectal cancer is one of the most common cancers in the world. Several studies suggest using the Asia-Pacific colorectal screening (APCS) score and its modified versions to select high-risk populations for early colonoscopy, but external validation remains rare, and which score should be selected for CRC screening in China is unclear. Validation of multiple scores in the same population might help to choose the best performing score.

methodsWe conducted a cross-sectional study under the framework of Cancer Screening Program in Urban China, data from asymptomatic colorectal cancer screening in Xuzhou was used to validate the APCS score, the colorectal neoplasia predict (CNP) score, the Korean colorectal screening (KCS) score, the Modified APCS score and the 8-point risk score in predicting colorectal advanced neoplasia (CAN).

results1804 subjects were included in the analysis and 112 CAN (6.21%) was detected. In each score, the detection rate of CAN was higher in the high-risk group than in the non-high-risk group (P < 0.05), and the RR (95%C.I.) ranged 2.20 (1.50-3.22) [8-point risk] to 4.00 (2.41-6.65) [Modified APCS]. The c-statistics (95%C.I.) of the scoring systems ranged from 0.58 (0.53-0.62) [8-point risk] to 0.65 (0.61-0.69) [KCS]. The sensitivity (95%C.I.) of these systems ranged from 31.25 (22.83-40.70) [8-point risk] to 84.82 (76.81-90.90) [Modified APCS], while the specificity (95%C.I.) ranged from 43.50 (41.12-45.90) [Modified APCS] to 83.81 (81.96-85.53) [8-point risk]. Using the APCS scoring system as a comparator, the net reclassification improvement (NRI) of each modified version ranged from - 10.34% (95%C.I.: - 22.63 to 1.95%) [8-point risk] to 4.79% (95%C.I.: - 1.50% to 11.08) [KCS]. The colonoscopy resource load (95%C.I.) ranged from 9 [1-3] [8-point risk] to 11 [3-5] [APCS and Modified APCS].

conclusionsThe APCS score and its modified versions have certain ability to predict the risk of advanced neoplasia and reduce the resource load. The modified APCS score and the KCS score seemed the preferable systems to classify high risk subjects based on its high RR, sensitivity and predictive ability in the selected population. Future research could focus on adding risk factors or combining with laboratory test results to improve the predictive power of the scoring system.

Indexed as

ColonoscopyColorectal NeoplasmsAsiaChinaCross-Sectional StudiesHumansColorectal neoplasiaEarly detection of cancerMass screeningRisk assessmentValidation studies as topic

Identifiers

PMID36071414
PMCPMC9450334
OpenAlexW4294868388

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LicenceCC BY
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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.