Evidence map›Paper›PMID 31908725›Full record

ArticleWorld journal of gastrointestinal oncology2019

Analysis of factors potentially predicting prognosis of colorectal cancer.

Li-Jun Jin, Wei-Bin Chen, Xiao-Yu Zhang, Jie Bai, Hao-Chen Zhao, Zun-Yi Wang

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Li-Jun JinDepartment of Surgical Oncology (Division III), Cangzhou Central Hospital, Cangzhou 061001, Hebei Province, China.
Wei-Bin ChenDepartment of Radiology, North China University of Science and Technology Affiliated Hospital, Tangshan 063000, Hebei Province, China.
Xiao-Yu ZhangDepartment of Surgical Oncology (Division III), Cangzhou Central Hospital, Cangzhou 061001, Hebei Province, China.
Jie BaiDepartment of Surgical Oncology (Division III), Cangzhou Central Hospital, Cangzhou 061001, Hebei Province, China.
Hao-Chen ZhaoDepartment of Anesthesiology (Division II), Cangzhou Central Hospital, Cangzhou 061001, Hebei Province, China.
Zun-Yi WangDepartment of Surgical Oncology (Division III), Cangzhou Central Hospital, Cangzhou 061001, Hebei Province, China. czwzy99@163.com.
Cangzhou Central Hospital · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate assessment of the prognosis after colorectal cancer surgery is of great significance in patients with colorectal cancer. However, there is no systematic analysis of factors affecting the prognosis of colorectal cancer currently.

aimTo systematically analyze the influence of clinical data and serological and histological indicators on the prognosis of patients with colorectal cancer, and to explore the indicators that can accurately assess the prognosis of patients with colorectal cancer.

methodsA total of 374 patients with colorectal cancer were enrolled. The clinical data, tumor-node-metastasis (TNM) stage, and Dukes stage were recorded. All patients received examinations including carcinoembryonic antigen (CEA), carbohydrate antigen 199, C-reactive protein, albumin, D-dimer, and fibrinogen as well as routine blood tests one week before surgery. The tumor location, size, depth of invasion, lymph node metastasis, and distant metastasis were recorded during surgery. The pathological tissue typing and expression of proliferating cell nuclear antigen (PCNA) and p53 were observed. All patients were followed for 3 years, and patients with endpoint events were defined as a poor prognosis group, and the remaining patients were defined as a good prognosis group. The differences in clinical data, serology, and histology were analyzed between the two groups. Multivariate COX regression was used to analyze the independent influencing factors for the prognosis of colorectal cancer. The receiver operating characteristic curve was used to evaluate the predictive value of each of the independent influencing factors and their combination for the prognosis of colorectal cancer.

resultsThe follow-up outcomes showed that 81 patients were in the good prognosis group and 274 patients in the poor prognosis group. The TNM stage, PCNA, Glasgow prognostic score (GPS), neutrophil-lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR), D-dimer, and CEA were independent influencing factors for the prognosis of colorectal cancer (

conclusionThe independent influence factors for the prognosis of colorectal cancer include TNM stage, PCNA, GPS, NLR, CAR, D-dimer, and CEA. The combined assessment of the independent factors is the most accurate predictor of the prognosis after colorectal cancer surgery.

Indexed as

Colorectal cancerCombination assessmentInfluencing factorsPrognosis

Identifiers

PMID31908725
PMCPMC6937433
OpenAlexW2992048462

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.