Evidence map›Paper›PMID 36505366›Full record

ArticleFrontiers in cardiovascular medicine2022

Gender discrepancies in predictors for newly onset cardiovascular events and metabolic syndrome in elderly patients from rural China.

Shasha Yu, Xiaofan Guo, GuangXiao Li, Hongmei Yang, Liqiang Zheng, Yingxian Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 1 country.

Shasha YuDepartment of Cardiology, First Hospital of China Medical University, Shenyang, China.
Xiaofan GuoDepartment of Cardiology, First Hospital of China Medical University, Shenyang, China.
GuangXiao LiDepartment of Clinical Epidemiology, Institute of Cardiovascular Diseases, First Hospital of China Medical University, Shenyang, China.
Hongmei YangDepartment of Cardiology, First Hospital of China Medical University, Shenyang, China.
Liqiang ZhengDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yingxian SunDepartment of Cardiology, First Hospital of China Medical University, Shenyang, China.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to estimate the possible predictors of cardiovascular events (CVEs) in elderly patients with metabolic syndrome (MetS) from rural China. Moreover, we also attempted to find the potential risk factors for newly diagnosed MetS. Methods: The Northeast China Rural Cardiovascular Health Study (NCRCHS) is a community-based prospective cohort study carried out in rural areas of northeast China. Approximately 1,059 elderly patients with MetS but no cardiovascular diseases and 1,565 elderly patients without MetS at baseline were enrolled in this study. They underwent a physical examination, completed a questionnaire in 2012-2013, and were followed up during 2015-2017. Cox proportional hazard analysis was conducted to assess the possible predictors of newly developed CVEs, and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS. Results: The common predictors of newly developed CVEs in both men and women were family history of stroke (HR [hazard ratios] Conclusion: Our study identified many effective predictors of CVEs in rural elderly patients with MetS and confirmed the presence of a gender-based discrepancy. Moreover, we also identified additional risk factors, along with the traditional ones, for newly diagnosed MetS in rural elderly patients.

Indexed as

cardiovascular eventselderlyincidencemetabolic syndromerisk factors

Identifiers

PMID36505366
PMCPMC9726899
OpenAlexW4309702619

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.