Evidence map›Paper›PMID 37827990›Full record

ArticleCancer reports (Hoboken, N.J.)2023

Biological risk based on preoperative serum CA19-9 and histological grade predicts prognosis and improves accuracy of classification in patients with pancreatic ductal adenocarcinoma.

Shaofei Chang, Yaohua Liu, Yuexiang Liang, Quan Man, Haorui Li, Yu Guo, Tiansuo Zhao

Open access · goldAbstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Exploring correlations of CA19-9 with serum enzyme ratios: can layered biomarker strategies enhance prognostic accuracy in pancreatic cancer?Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

7 authors at 2 institutions in 1 country.

Shaofei ChangDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.ORCID 0009-0009-1306-1279
Yaohua LiuGraduate School, Shanxi Medical University, Jinzhong, China.
Yuexiang LiangDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.
Quan ManDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.
Haorui LiDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.
Yu GuoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.
Tiansuo ZhaoDepartment of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center For Cancer, Tianjin, China.
Tianjin Medical University Cancer Institute and Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbohydrate antigen (CA) 19-9 and histological grade can serve as indicators of the biological characteristics of pancreatic ductal adenocarcinoma (PDAC).

aimsThe aim of this study was to investigate the combined impact of preoperative CA19-9 levels and histological grade on prognosis and classification accuracy in PDAC patients. METHODS AND

resultsA retrospective cohort study was conducted on 612 patients with PDAC who underwent curative pancreatectomy, and a biological risk model based on preoperative CA19-9 levels and histology grade was established. The prognostic importance of the biological risk model was evaluated, and its validity was confirmed through a validation cohort of 218 patients. The survival of patients with PDAC was independently associated with preoperative CA19-9 levels and histology grade, indicating a biological risk. This biological risk was incorporated into the eighth edition of the TNM staging system, leading to the development of a modified TNM (mTNM) staging system. Receiver operating characteristic (ROC) curves demonstrated that the mTNM staging system had a significantly larger area under the curve (AUC) than the TNM staging system. The discriminatory capacity of the mTNM staging system was further validated in an independent cohort.

conclusionBiological risk based on preoperative CA19-9 and histological grade could predict the survival of patients with PDAC. The incorporation of biological risk into the TNM staging system has the potential to enhance the accuracy of patient classification in PDAC, predicting patient survival and enabling the development of individualized treatment plans.

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalPancreatic NeoplasmsCA-19-9 AntigenHumansPrognosisRetrospective StudiesCA-19-9 AntigenCA19-9histological gradepancreatic ductal adenocarcinomaprognosisTNMtumor biology

Identifiers

PMID37827990
PMCPMC10728503
OpenAlexW4387566009

What OpenQuestion holds

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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.