Evidence map›Paper›PMID 36157359›Full record

ArticleWorld journal of gastrointestinal surgery2022

Early detection of colorectal cancer based on circular DNA and common clinical detection indicators.

Jian Li, Tao Jiang, Zeng-Ci Ren, Zhen-Lei Wang, Peng-Jun Zhang, Guo-An Xiang

Abstract read
In one paragraph

Article in World journal of gastrointestinal surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Jian LiThe Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
Tao JiangMedicine Innovation Research Division of Chinese PLA General Hospital, Beijing 100853, China.
Zeng-Ci RenDepartment of General Surgery, Henan Tumor Hospital, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China.
Zhen-Lei WangDepartment of General Surgery, Henan Tumor Hospital, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China.
Peng-Jun ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Interventional Therapy Department, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Guo-An XiangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third most common cancer worldwide, and it is the second leading cause of death from cancer in the world, accounting for approximately 9% of all cancer deaths. Early detection of CRC is urgently needed in clinical practice.

aimTo build a multi-parameter diagnostic model for early detection of CRC.

methodsTotal 59 colorectal polyps (CRP) groups, and 101 CRC patients (38 early-stage CRC and 63 advanced CRC) for model establishment. In addition, 30 CRP groups, and 62 CRC patients (30 early-stage CRC and 32 advanced CRC) were separately included to validate the model. 51 commonly used clinical detection indicators and the 4 extrachromosomal circular DNA markers

resultsNeural network included carcinoembryonic antigen (CEA), ischemia-modified albumin (IMA), sialic acid (SA),

conclusionWe built a multi-parameter neural network diagnostic model included CEA, IMA, SA,

Indexed as

Circular DNAColorectal cancerColorectal polypsMulti-parameterNeural network

Identifiers

PMID36157359
PMCPMC9453338

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.