Evidence map›Paper›PMID 32256564›Full record

ArticleGastroenterology research and practice2020

The Prognostic Significance of Tumor Deposit Count for Colorectal Cancer Patients after Radical Surgery.

Kuo Zheng, Nanxin Zheng, Cheng Xin, Leqi Zhou, Ge Sun, Rongbo Wen, Hang Zhang, Guanyu Yu, Chenguang Bai, Wei Zhang

Erratum issuedAbstract read
In one paragraph

Article in Gastroenterology research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. Review
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  6. Tumor Deposits as an Adverse Prognostic Indicator in Stage III Colon Cancer: A Multicenter Database Study.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kuo ZhengDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.ORCID https://orcid.org/0000-0002-7456-0014
Nanxin ZhengDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Cheng XinDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Leqi ZhouDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Ge SunDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Rongbo WenDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Hang ZhangDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Guanyu YuDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.
Chenguang BaiDepartment of Pathology, Changhai Hospital, Shanghai, China.ORCID https://orcid.org/0000-0001-9980-8381
Wei ZhangDepartment of Colorectal Surgery, Changhai Hospital, Shanghai, China.ORCID https://orcid.org/0000-0003-3094-9711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic value of tumor deposit (TD) count in colorectal cancer (CRC) patients has been rarely evaluated. This study is aimed at exploring the prognostic value of TD count and finding out the optimal cutoff point of TD count to differentiate the prognoses of TD-positive CRC patients.

methodPatients diagnosed with CRC from Surveillance, Epidemiology, and End Results (SEER) database from January 1, 2010, to December 31, 2012, were analyzed. X-tile program was used to identify the optimal cutoff point of TD count in training cohort, and a validation cohort was used to test this cutoff point after propensity score matching (PSM). Univariate and multivariate Cox proportional hazard models were used to assess the risk factors of survival.

resultsX-tile plots identified 3 (

conclusionMore TD count (TD count ≥ 4) was significantly associated with poor disease-specific survival in CRC patients.

Identifiers

PMID32256564
PMCPMC7103057

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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.