Evidence map›Paper›PMID 35372441›Full record

SynthesisFrontiers in medicine2022

The Application Value of Syndecan-2 Gene Methylation for Colorectal Cancer Diagnosis: A Clinical Study and Meta-Analyses.

Congbo Yue, Yaping Zhang, Yanlei Wang, Zhenhong Zhang, Mengjiao Zhang, Huayang Wang, Wendan Chen, Ziqi Shang, Yiwei Xin, Xin Zhang and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Added value of dual-phaseFrontiers in oncology · 2025
    Article
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  6. Article
  7. Review
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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

11 authors at 1 institution in 1 country.

Congbo YueDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yaping ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yanlei WangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, China.
Zhenhong ZhangJinan AXZE Medical Test Laboratory, Jinan, China.
Mengjiao ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Huayang WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Wendan ChenDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Ziqi ShangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yiwei XinDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Xin ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Yi ZhangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Syndecan-2 (SDC2) methylation has been previously reported as a sensitive biomarker for the early detection of colorectal cancer (CRC). Droplet digital PCR (ddPCR) is the latest development of PCR technology. It can accurately detect and quantify the target sequence of nucleic acid. ddPCR is widely used in research and clinical diagnosis. In the present study, we aimed to develop a ddPCR method to detect SDC2 gene methylation and evaluate the diagnostic value of SDC2 gene methylation. Methods: First, a ddPCR method was developed to measure SDC2 methylation in stool samples collected from 51 cases of normal, 23 cases of adenoma, and 86 cases of CRC. Subsequently, a meta-analysis of existing studies was conducted to judge the diagnostic value of SDC2 gene methylation in CRC. PUBMED, EMBASE, Web of Science, and Scopus databases were searched for relative studies. Meta-analysis was performed using Meta Disc 1.4 and STATA 15.0 software. Results: The ddPCR showed that the linearity, sensitivity, and specificity for the detection of SDC2 gene methylation could be down to 0.1% methylation level and 5 ng of methylated DNA input. In 109 cases of CRC, 107 cases could be detected, and the sensitivity was 98.17%. The median value of the percentage of methylated reference (PMR) in colorectal adenoma and CRC patients was significantly higher compared with the normal individuals ( Conclusions: The ddPCR method was more sensitive and convenient to detect SDC2 gene methylation, and the pooled analysis showed that methylated SDC2 was a valuable biomarker for the non-invasive detection of CRC.

Indexed as

biomarkercolorectal cancerdiagnostic valuedroplet digital PCRSDC2 gene methylation

Identifiers

PMID35372441
PMCPMC8964598
OpenAlexW4220657243

What OpenQuestion holds

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Registered trials

None linked

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.