Evidence map›Paper›PMID 36458167›Full record

ArticleFrontiers in nutrition2022

Association between pre-diagnostic dietary copper, zinc, and copper-to-zinc ratio and severity of ovarian cancer.

Jia-Li Yin, Tao Tao, Zhao-Yan Wen, Ran Wang, Ming-Hui Sun, Chang Gao, Yu-Jiao Chang, Shi Yan, Xue Qin, Yu-Hong Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. 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 49% 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, 2 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

12 authors at 1 institution in 1 country.

Jia-Li YinDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Tao TaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhao-Yan WenDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ran WangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ming-Hui SunDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Chang GaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu-Jiao ChangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Shi YanDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xue QinDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu-Hong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Lan WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Song GaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of dietary trace elements intake on ovarian cancer (OC) severity is unknown. Objective: We firstly explore the relationship between dietary copper (Cu), zinc (Zn), and copper-to-zinc (Cu/Zn) ratio and severity of OC. Methods: This cross-sectional study included 701 women from the OC follow-up study between 2015 and 2020. Dietary information was collected by a validated food frequency questionnaire (FFQ). The severity information of OC including age at diagnosis, histological type, International Federation of Gynecology and Obstetrics (FIGO) stage, and histopathologic grade was ascertained from medical records. Logistic regression model was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of aforementioned associations. Results: Among 701 participants, the number of patients age at diagnosis older than 50 were 443 (63.2%). The number of patients diagnosed as serous, III-IV stage, and poorly differentiation OC were 477 (68.05%), 336 (47.93%), and 597 (85.16%), respectively. In addition, compared with the lowest tertile intake, higher possibility of non-serous OC was associated with the pre-diagnosis dietary Cu (OR = 2.39, 95% CI = 1.28-4.47, p trend < 0.05) and Cu/Zn ratio (OR = 2.06, 95% CI = 1.26-3.39, P trend < 0.05) in the highest tertile intake. The risk of poorly differentiation OC at diagnosis was significant inversely related to dietary Cu intake (OR = 0.40, 95% CI = 0.18-0.88, P trend < 0.05). Besides, the results of subgroup analyses were consistent with the main findings but not all of them showed statistical significance. Conclusion: Pre-diagnostic dietary Cu and Cu/Zn ratio were contributed to reducing the severity of OC at diagnosis, especially for the risk of serous OC and poorly differentiation OC.

Indexed as

coppercopper-to-zinc ratiodietovarian cancerseverityzinc

Identifiers

PMID36458167
PMCPMC9705584
OpenAlexW4309214701

What OpenQuestion holds

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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.