Evidence map›Paper›PMID 30148752›Full record

ArticleAnnals of surgery2020

Efficacy and Safety of Complete Mesocolic Excision in Patients With Colon Cancer: Three-year Results From a Prospective, Nonrandomized, Double-blind, Controlled Trial.

Zhidong Gao, Chao Wang, Yancheng Cui, Zhanlong Shen, Kewei Jiang, Danhua Shen, Yi Wang, Siyan Zhan, Peng Guo, Xiaodong Yang and 8 more

Registry-linked trialAbstract readControlled Clinical Trial
PubMed Publisher
In one paragraph

Article in Annals of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01724775 (A Prospective, Non-randomized, Double-blind, Single-center Study to Evaluate Efficacy and Safety of Complete Mesocolic Excision for Colon Cancer.), which is not on this map. Cited by 44 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 6 pooled it
–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.

NCT01724775 unknown statusnot on this map

A Prospective, Non-randomized, Double-blind, Single-center Study to Evaluate Efficacy and Safety of Complete Mesocolic Excision for Colon Cancer.

TypeobservationalSponsorShan WangRan2012 to 2017Enrolled450ConditionsColon Cancer, Surgery
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Zhidong GaoDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Chao WangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Yancheng CuiDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Zhanlong ShenKey Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Beijing, China.
Kewei JiangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Danhua ShenDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Yi WangDepartment of Radiology, Peking University People's Hospital, Beijing, China.
Siyan ZhanDepartment of Epidemiology, Peking University Health Science Center, Beijing, China.
Peng GuoDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Xiaodong YangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Fangfang LiuDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Kai ShenDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Bin LiangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Mujun YinDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Qiwei XieDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Youli WangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Shan WangDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
Yingjiang YeDepartment of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to evaluate the oncological outcomes of complete mesocolic excision (CME) in colon cancer patients. SUMMARY BACKGROUND DATA: CME is considered a standard procedure for colon cancer patients. However, previous evidence regarding the effect of CME on prognosis has fundamental limitations that prevent it from being fully accepted.

methodsPatients who underwent radical resection for colon cancer were enrolled between November 2012 and March 2016. According to the principles of CME, patients were stratified into 2 groups based on intraoperative surgical fields and specimen photographs. The primary outcome was local recurrence-free survival (LRFS). The clinicopathological data and follow-up information were collected and recorded. The final follow-up date was April 2016. The trial was registered in ClinicalTrials.gov (identifier: NCT01724775).

resultsThere were 220 patients in the CME group and 110 patients in the noncomplete mesocolic excision (NCME) group. Baseline characteristics were well balanced. Compared with NCME, CME was associated with a greater number of total lymph nodes (24 vs 20, P = 0.002). Postoperative complications did not differ between the 2 groups. CME had a positive effect on LRFS compared with NCME (100.0% vs 90.2%, log-rank P < 0.001). Mesocolic dissection (100.0% vs 87.9%, log-rank P < 0.001) and nontumor deposits (97.2% vs 91.6%, log-rank P < 0.022) were also associated with improved LRFS.

conclusionsOur findings demonstrate that, compared with NCME, CME improves 3-year LRFS without increasing surgical risks.

Indexed as

AdultAgedColectomyColonic NeoplasmsDouble-Blind MethodFemaleHumansLymph Node ExcisionMaleMesocolonMiddle AgedPhotographyPostoperative ComplicationsProspective StudiesSurvival Rate

Identifiers

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Registered trials

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.