Evidence map›Paper›PMID 38166697›Full record

ArticleBMC cancer2024

Effect of trace element mixtures on the outcome of patients with esophageal squamous cell carcinoma: a prospective cohort study in Fujian, China.

Kaili Yu, Shuang Liu, Zheng Lin, Jianyu Song, Qiaoyan Zeng, Jinsong Zhou, Juwei Zhang, Suhong Zhang, Jianbo Lin, Zhisheng Xiang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 7 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

11 authors at 3 institutions in 1 country.

Kaili YuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Shuang LiuSun Yat-Sen University Cancer Center/Cancer Hospital, Guangzhou, 510060, China.
Zheng LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Jianyu SongDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Qiaoyan ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Jinsong ZhouDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Juwei ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Suhong ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
Jianbo LinThe First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian, China.
Zhisheng XiangFujian Cancer Hospital, Fuzhou, 350014, Fujian, China.
Zhijian HuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China. huzhijian@fjmu.edu.cn.
Fujian Medical University · CNFujian Provincial Cancer Hospital · CNSun Yat-sen University Cancer Center · CN

Funding

Central government-led local science and technology development special project 2020L3009Grant of Science and Technology of Fujian, China 2019L3006Natural Science Foundation of Fujian Province 2021J01726Scientific and Technological Innovation Joint Capital Projects of Fujian Province 2020Y9018
6 · The paper itself

Abstract

backgroundThe evidence about the effects of trace elements on overall survival(OS) of patients with esophageal squamous cell carcinoma(ESCC) is limited. This study aims to evaluate mixed effects of plasma trace elements on OS of ESCC.

methodsThis prospective cohort analysis included 497 ESCC patients with a median follow-up of 52.3 months. The concentrations of 17 trace elements were measured. We fitted Cox's proportional hazards regression, factor analysis and Bayesian kernel machine regression (BKMR) models to estimate the association between trace elements and OS.

resultsOur analysis found that in the single-element model, Co, Ni, and Cd were associated with an increased risk of death, while Ga, Rb, and Ba were associated with a decreased risk. Cd had the strongest risk effect among all elements. As many elements were found to be mutually correlated, we conducted a factor analysis to identify common factors and investigate their associations with survival time. The factor analysis indicated that the factor with high factor loadings in Ga, Ba and B was linked to a decreased risk of death, while the factor with high factor loadings in Co, Ti, Cd and Pb was associated with a borderline significantly increased risk. Using BKMR analysis to disentangle the interaction between elements in significant factors, we discovered that Ga interacted with Ba and both elements had U-shaped effects with OS. Cd, on the other hand, had no interaction with other elements and independently increased the risk of death.

conclusionsOur analysis revealed that Ga, Ba and Cd were associated with ESCC outcome, with Ga and Ba demonstrating an interaction. These findings provide new insights into the impact of trace elements on the survival of patients with ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaTrace ElementsBayes TheoremCadmiumCohort StudiesHumansProspective StudiesCadmiumTrace ElementsBayesian kernel machine regressionEsophageal squamous cell carcinomaOutcomeTrace elements

Identifiers

PMID38166697
PMCPMC10762846
OpenAlexW4390498698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.