Evidence map›Paper›PMID 36760372›Full record

ArticleTranslational cancer research2023

The stool

Yixiang Zhan, Shuyuan Wang, Zhen Yuan, Xuanzhu Zhao, Kemin Ni, Ran Xin, Xingyu Zhou, Zhaoce Liu, Xin Yin, Hangyu Ping and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. 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

18 authors at 3 institutions in 1 country.

Yixiang Zhan *Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Shuyuan Wang *School of Medicine, Nankai University, Tianjin, China.
Zhen Yuan *School of Medicine, Nankai University, Tianjin, China.
Xuanzhu Zhao *Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Kemin NiDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Ran XinSchool of Medicine, Nankai University, Tianjin, China.
Xingyu ZhouSchool of Medicine, Nankai University, Tianjin, China.
Zhaoce LiuDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Xin YinSchool of Medicine, Nankai University, Tianjin, China.
Hangyu PingSchool of Medicine, Nankai University, Tianjin, China.
Yaohong LiuSchool of Medicine, Nankai University, Tianjin, China.
Wanting WangSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Suying YanSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qiurong HanSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xipeng ZhangDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Qinghuai ZhangDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Yandi LiuDepartment of Gastroenterology, Tianjin Union Medical Center, Tianjin, China.
Chunze ZhangDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
Nankai University · CNTianjin People's Hospital · CNTianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methylated Methods: The gold standard diagnostic technique that was used was colonoscopy combined with a pathological analysis of biopsied tissue. Stool DNA was extracted from 1,002 stool samples (445 from CRCs, 115 from adenomas, and 442 from controls) and then bisulfite-converted, followed by real-time quantitative methylation-specific polymerase chain reaction. Blood mSEPT9 levels were quantified by the Epi proColon 2.0 assay, and serum CEA, CA19-9 and CA724 levels were measured by electrochemiluminescence. The main indexes used during the evaluation were sensitivity, specificity and the area under the receiver operating characteristic curve (AUC). Results: Stool mSDC2 detected 69.7% of CRCs, which was significantly higher than 53.8% by plasma mSEPT9, 37.2% by CEA, 13.1% by CA19-9 and 17.5% by CA724; for adenoma, the detection rates were 31.3%, 11.1%, 2.3% and 11.9%, respectively. The AUC of mSDC2 in detecting CRC was 0.83, compared to 0.72, 0.75, 0.63 and 0.54 for mSEPT9, CEA, CA19-9 and CA724, respectively. mSDC2 identified patients with stage I-III CRC with a sensitivity of 71.6%, which was significantly higher than that of mSEPT9, CEA, CA19-9 and CA724 (54.2%, 35.5%, 11.9%, and 15.0%, respectively); for stage IV CRC, the sensitivities of mSDC2, mSEPT9, CEA, CA19-9 and CA724 were 75.9%, 82.6%, 79.3%, 36.0% and 56.5%, respectively. SDC2 and CEA had a significantly higher sensitivity for distal CRC than for proximal CRC. Conclusions: The stool SDC2 methylation test had a better performance in detecting nonmetastatic CRC and adenoma than evaluations of mSEPT9, CEA, CA19-9 and CA724 in blood. Our findings could be used to modify approaches for CRC prevention and early detection.

Indexed as

Colorectal cancer (CRC)early detectiongeneticsplasma septin9stool SDC2

Identifiers

PMID36760372
PMCPMC9906059
OpenAlexW4313823325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.