Evidence map›Paper›PMID 36647059›Full record

ArticleBMC cancer2023

Prognostic significance of preoperative serum tumor markers in hepatoid adenocarcinoma of stomach (HAS).

Xuesong Yang, Anqiang Wang, Jialin Li, Kai Zhou, Ke Ji, Xin Ji, Ji Zhang, Xiaojiang Wu, Zhaode Bu

Abstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. A case study of unexplained multiple hepatoid adenocarcinoma of the bone.Quantitative imaging in medicine and surgery · 2024
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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

9 authors.

Xuesong Yang *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Anqiang Wang *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Jialin Li *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Kai ZhouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Ke JiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Xin JiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Ji ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Xiaojiang WuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China.
Zhaode BuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Cancer, Peking University Cancer Hospital & Institute, Beijing, China. buzhaode@cjcrcn.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of preoperative serum tumor markers in HAS patients was vague, we designed the study to explore the effect of preoperative serum tumor markers on predicting the prognosis of HAS patients.

methodsA total of 139 patients were included according to the different tumor makers. X-tile tool was employed to identify the optimal cut-off values of respective tumor makers. Multivariate analyses were conducted to determine independent risk factors.

resultsThe optimal cut-off value of alpha-fetoprotein (AFP) for 3-years overall survival (OS) and recurrence-free survival (RFS) was 516 ng/mL. Patients with high-level AFP values assumed significantly worse OS and RFS than those with low-level AFP values (P = 0.028 and P = 0.011, respectively). The optimal cut-off value of Carbohydrate antigen (CA)19-9 for OS and RFS was 51.3 U/mL. And the survival results were similar with AFP in the aspects of OS and RFS (P = 0.009 and P < 0.001, respectively). Multivariate analyses showed that high serum AFP was an independent risk factor for OS and RFS of HAS patients (HR7.264; 95% CI 1.328-39.738; P = 0.022 and HR 2.688; 95% CI 0.922-7.836; P = 0.070, respectively). CA19-9 could perform as a fair substitute to predict the HAS patients' OS and RFS when the preoperative serum AFP was unavailable (HR 7.816; 95% CI 2.084-29.308; P = 0.002 and HR 4.386; 95% CI 1.824-10.547; P = 0.001, respectively). Other tumor markers didn't present significant influences.

conclusionsApplying preoperative serum AFP level to predict the HAS patients' prognosis is feasible and preoperative serum high-AFP is an independent risk factor for OS and RFS of HAS patients. Preoperative serum CA19-9 could be an alternative choice when AFP was absent.

Indexed as

AdenocarcinomaLiver NeoplasmsStomach Neoplasmsalpha-FetoproteinsBiomarkers, TumorCA-19-9 AntigenHumansPrognosisRetrospective Studiesalpha-FetoproteinsBiomarkers, TumorCA-19-9 AntigenAlpha-fetoproteinCarbohydrateantigen19–9Gastric hepatoid adenocarcinomaPrognosis

Identifiers

PMID36647059
PMCPMC9841701

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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.