Evidence map›Paper›PMID 29200873›Full record

ArticleOncoTargets and therapy2017

Clinical application of carbon nanoparticles in curative resection for colorectal carcinoma.

Li-Yu Wang, Jia-Huan Li, Xing Zhou, Qi-Chang Zheng, Xiang Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in OncoTargets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

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

11 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Li-Yu Wang *Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jia-Huan Li *Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xing ZhouDepartment of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qi-Chang ZhengDepartment of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiang ChengDepartment of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the potential of carbon nanoparticles (CNs) for the intraoperative detection of positive and negative lymph nodes in the treatment of colorectal cancer. PATIENTS AND

methodsThe clinical data of 470 patients undergoing surgical procedures for colorectal cancer from June 2010 to February 2013 were analyzed retrospectively. The patients were divided into the CN group (183 males and 161 females; mean age, 58.6±12.4 years), who were given a CN suspension, and the control group (78 males and 48 females; mean age, 59.1±12.2 years), who were not given a CN suspension. The operative time, blood loss, number of lymph nodes detected/positive lymph nodes, and prevalence of postoperative complications were compared between the two groups. Three years after surgery, 444 cases (327 cases in the CN group and 117 cases in the control group) were interviewed, with the remaining 26 cases lost to follow-up. With regard to tumor, node, metastasis staging, the survival and prevalence of recurrence in each group at 3 years were analyzed.

resultsThe number of positive lymph nodes was higher and the prevalence of blood loss was lower in the CN group than in the control group (

conclusionThe application of CNs is convenient for the detection of lymph nodes to reduce blood loss and increase the probability of detecting positive lymph nodes accurately and rapidly.

Indexed as

colorectal neoplasmscurative resectionpositive lymph nodesprognosis

Identifiers

PMID29200873
PMCPMC5702162

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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 OpenQuestion graph.