Evidence map›Paper›PMID 37430251›Full record

ArticleBMC gastroenterology2023

Correlation between color doppler flow pattern and molecular biology in elderly patients with colon cancer.

Fei Shao, Xiuxiu Lai, Lulu Tong, Linxiao Li, Da Ye, Linlin Jin, Chunyan Xu

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 1 country.

Fei ShaoRehabilitation Medcine Center, Department of Geriatric VIP No. 3 (Department of Clinical Psychology), Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Xiuxiu LaiCardiovascular Center, Department of Geriatric VIP No. 6 (Department of Geriatric Medicine), Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Lulu TongRehabilitation Medicine Center, Department of Rehabilitation, Encephalopathy Rehabilitation Ward, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Linxiao LiRehabilitation Medcine Center, Department of Geriatric VIP No. 3 (Department of Clinical Psychology), Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Da YeCancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Linlin JinRehabilitation Medcine Center, Department of Geriatric VIP No. 3 (Department of Clinical Psychology), Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Chunyan XuCardiovascular Center, Department of Geriatric VIP No. 5 (Department of Geriatric Medicine), Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, 158 Shangtang Road, Gongshu District, Hangzhou, Zhejiang Province, China. CY_Xu222@hotmail.com.
Hangzhou Medical College · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the correlation between the grade and type of color Doppler flow imaging (CDFI) and tumor-related cytokines in elderly patients with colon cancer.

methodsSeventy-six elderly patients with colorectal cancer admitted to Zhejiang Provincial People's Hospital from July 2020 to June 2022 were selected. CDFI was used to analyze the blood flow grade and distribution type of tumor tissues, and ELISA was used to detect the levels of tumor-related cytokines in serum. Preoperative clinical data were collected and analyzed, and the correlation between measured cytokine levels and CDFI analysis results was further explored.

resultsCDFI blood flow grade showed significant difference in the different lengths, invasion depths and lymph node metastasis of tumors (all P < 0.001). In addition, serum levels of TNF-α, IL-6 and VEGF also showed statistical difference in all above different tumor-related factors (all P < 0.001). Further Pearson correlation analysis showed that CDFI blood flow grade and distribution types were both significantly positively correlated with above serum cytokine levels (r > 0, all P < 0.001). Kaplan-Meier survival analysis showed that both CDFI blood flow grade and distribution types were poor prognostic factors in elderly patients with colon cancer. Regression analysis showed that serum levels of TNF-α, IL-6 and VEGF were independent risk factors for poor prognosis of colon cancer in elderly patients.

conclusionCDFI blood flow grade and tumor tissue distribution have potential significant correlations with tumor-associated cytokines in the serum of colon cancer patients. CDFI blood flow grading technique provides an important imaging method for dynamic observation of angiogenesis and blood flow changes in elderly patients with colon cancer. Abnormal changes in serum levels of tumor-related factors can be used as sensitive indicators to evaluate the therapeutic effect and prognosis of colon cancer.

Indexed as

Colonic NeoplasmsTumor Necrosis Factor-alphaAgedCytokinesHumansInterleukin-6Molecular BiologyVascular Endothelial Growth Factor ACytokinesInterleukin-6Tumor Necrosis Factor-alphaVascular Endothelial Growth Factor ABlood flow distribution typeBlood flow gradeCDFIColon cancerCytokinesElderly patients

Identifiers

PMID37430251
PMCPMC10331958
OpenAlexW4383736320

What OpenQuestion holds

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LicenceCC BY
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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.