Evidence map›Paper›PMID 27577559›Full record

ArticleWorld journal of surgical oncology2016

Preoperative endoscopic localization of colorectal cancer and tracing lymph nodes by using carbon nanoparticles in laparoscopy.

Qingxuan Wang, Endong Chen, Yefeng Cai, Chong Chen, Wenxu Jin, Zhouci Zheng, Yixiang Jin, Yao Chen, Xiaohua Zhang, Quan Li

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in World journal of surgical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.3field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  14. Carbon nanoparticle-assisted natural orifice specimen extraction surgery with left colic artery preservation: a retrospective study.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2022
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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

10 authors at 3 institutions in 1 country.

Qingxuan WangDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Endong ChenDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Yefeng CaiDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Chong ChenDepartment of General Surgery, Pingyang People's Hospital, Wenzhou, Zhejiang Province, 325000, China.
Wenxu JinDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Zhouci ZhengDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Yixiang JinDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Yao ChenDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China.
Xiaohua ZhangDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China. zxhoncology@126.com.
Quan LiDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325000, China. lqsky1106@126.com.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CNWenzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to evaluate the effectiveness of preoperative endoscopic localization of colorectal cancer and tracing lymph nodes by carbon nanoparticle tattooing in laparoscopic colorectal cancer surgery.

methodsFrom January 2013 to December 2014, 54 patients with colorectal cancer were recruited and divided into experimental (n = 27) and control (n = 27) groups. The patients in the experimental group were localized preoperatively by endoscopic carbon nanoparticle tattooing, whereas patients in the control group were not tattooed.

resultsAll injection sites in the experimental group were visible to surgeons. No abdominal pain, fever, diarrhea, and other symptoms of infection were found in the experimental group. The time for detecting the tumor (2.71 ± 2.13 min versus 6.91 ± 5.16 min, p < 0.001), operation time (151.22 ± 30.66 min versus 170.26 ± 33.13 min, p = 0.033), and blood loss during the operation (125.04 ± 29.48 mL versus 147.52 ± 34.35 mL, p = 0.013) were lower in the experimental group than in the control group. Average numbers of dissected lymph nodes in the experimental group exceeded those in the control group (14.41 ± 3.32 versus 8.96 ± 2.90, p < 0.001), and the rate of dissected lymph nodes ≥12 was higher in the experimental group than in the control group (70.37 versus 37.04 %, p < 0.001). Moreover, no difference in postoperative complications was found between the two groups.

conclusionsTattooing colorectal cancer with carbon nanoparticles in laparoscopic colorectal cancer surgery is safe and useful both in localization and lymph node tracing.

Indexed as

AgedCarbonColonoscopyColorectal NeoplasmsFemaleHumansLaparoscopyLymphatic MetastasisLymph Node ExcisionLymph NodesMaleMiddle AgedNanoparticlesOperative TimePractice Guidelines as TopicPreoperative CareCarbonCarbon nanoparticlesColonoscopyColorectal cancerLaparoscopicTattoo

Identifiers

PMID27577559
PMCPMC5004270
OpenAlexW2509328314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.