Evidence map›Paper›PMID 38058827›Full record

ArticleAmerican journal of cancer research2023

Elevated serum MMP-1 associated with advanced disease stage and lymph node metastasis in patients with pancreatic carcinoma.

Xiaoqing Xu, Hualiang Ji, Zongfeng Guo, Xiaomin Lu

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 3 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

4 authors at 1 institution in 1 country.

Xiaoqing XuDepartment of Oncology Pain, The Haian Hospital Affiliated to Nantong University Haian 226600, Jiangsu, China.
Hualiang JiDepartment of Gastroenterology, The Haian Hospital Affiliated to Nantong University Haian 226600, Jiangsu, China.
Zongfeng GuoDepartment of Anesthesiology, The Haian Hospital Affiliated to Nantong University Haian 226600, Jiangsu, China.
Xiaomin LuDepartment of Oncology, The Haian Hospital Affiliated to Nantong University Haian 226600, Jiangsu, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is a malignancy with extremely poor prognosis. This study aimed to investigate the application value of tumour markers and matrix metalloproteinase-1 (MMP-1) in predicting clinical staging and lymph node metastasis of pancreatic cancer. Totally, 130 pancreatic cancer patients and 40 healthy controls admitted to Haian Hospital Affiliated to Nantong University from January 2018 to January 2022 were collected. The expression of MMP-1, carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), and carbohydrate antigen 125 (CA125) were detected in their serum. MMP-1 was highly expressed in pancreatic cancer tissue, and MMP-1, CA199, CA125, and CEA could serve as diagnostic markers for pancreatic cancer. MMP-1 and CA199 had higher diagnostic value for early pancreatic cancer. Additionally, MMP-1 also demonstrated high predictive value for lymph node metastasis. Multivariate Cox regression analysis identified TNM staging, differentiation, MMP-1, and CA199 as independent risk factors affecting the overall survival of pancreatic cancer patients. The risk score model constructed based on Cox regression coefficients could better predict the prognosis of pancreatic cancer patients. MMP-1 demonstrates promising application value in determining clinical staging and lymph node metastasis of pancreatic cancer.

Indexed as

CA125CA199CEAMMP-1pancreatic carcinomarisk model

Identifiers

PMID38058827
PMCPMC10695808
OpenAlexW4389452562

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.