Evidence map›Paper›PMID 31881948›Full record

ArticleBMC gastroenterology2019

Improvement of Asia-Pacific colorectal screening score and evaluation of its use combined with fecal immunochemical test.

Xu-Xia He, Si-Yi Yuan, Wen-Bin Li, Hong Yang, Wen Ji, Zhi-Qiang Wang, Jian-Yu Hao, Chuan Chen, Wei-Qing Chen, Ying-Xin Gao and 5 more

Abstract readMulticenter Study
In one paragraph

Article in BMC gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Future of Colorectal Cancer Screening: From One-Size-FITs-All to Tailor-Made.Frontiers in gastroenterology (Lausanne, Switzerland) · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

15 authors.

Xu-Xia HeDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Si-Yi YuanDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Wen-Bin LiDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.ORCID http://orcid.org/0000-0002-9218-6409
Hong YangDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Wen JiDepartment of Gastroenterology, Chongqing Cancer Hospital, Chongqing, 400030, China.
Zhi-Qiang WangSecond Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Jian-Yu HaoDepartment of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, 100020, China.
Chuan ChenDepartment of Gastroenterology, University of Hong Kong-Shenzhen Hospital, Guangdong Province, Shenzhen, 518053, China.
Wei-Qing ChenDepartment of Gastroenterology, Chongqing Cancer Hospital, Chongqing, 400030, China.
Ying-Xin GaoDepartment of Gastroenterology, Beijing Chao-Yang Hospital, Beijing, 100020, China.
Ling-Bo LiMedical School of Nantong University, Nantong, Jiangsu Province, 226001, China.
Kai-Liang ChengDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
Jia-Ming QianDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China. liwang@ibms.pumc.edu.cn.
Jing-Nan LiDepartment of Gastroenterology, Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. lijn2008@126.com.

Funding

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences and Peking Union Medical College (CN) 2016- 12M-3-001National Natural Science Foundation of China 81770559National Natural Science Foundation of China (CN) 81370500
6 · The paper itself

Abstract

backgroundThe Asia-Pacific Colorectal Screening (APCS) score is effective to screen high-risk groups of advanced colorectal neoplasia (ACN) patients but needs revising and can be combined with the fecal immunochemical test (FIT). This paper aimed to improve the APCS score and evaluate its use with the FIT in stratifying the risk of ACN.

methodsThis prospective and multicenter study enrolled 955 and 1201 asymptomatic Chinese participants to form the derivation and validation set, respectively. Participants received the risk factor questionnaire, colonoscopy and FIT. Multiple logistic regression was applied, and C-statistic, sensitivity and negative predictive values (NPVs) were used to compare the screening efficiency.

resultsA modified model was developed incorporating age, body mass index (BMI), family history, diabetes, smoking and drinking as risk factors, stratifying subjects into average risk (AR) or high risk (HR). In the validation set, the HR tier group had a 3.4-fold (95% CI 1.8-6.4) increased risk for ACN. The C-statistic for the modified score was 0.69 ± 0.04, and 0.67 ± 0.04 for the original score. The sensitivity of the modified APCS score combined with FIT for screening ACN high-risk cohorts was 76.7% compared with 36.7% of FIT alone and 70.0% of the modified APCS score alone. The NPVs of the modified score combined with FIT for ACN were 98.0% compared with 97.0% of FIT alone and 97.9% of the modified APCS score alone.

conclusionsThe modified score and its use with the FIT are efficient in selecting the HR group from a Chinese asymptomatic population.

Indexed as

ColonoscopyOccult BloodAge FactorsAlcohol DrinkingAsymptomatic DiseasesChinaColorectal NeoplasmsDiabetes MellitusExerciseFeeding BehaviorFemaleHumansMaleMiddle AgedObesityPredictive Value of TestsAdvanced colorectal neoplasiaColorectal cancer screeningFecal immunochemical testHigh risk populationPredictive model

Identifiers

PMID31881948
PMCPMC6935212

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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.