Evidence map›Paper›PMID 38161338›Full record

ArticleJournal of geriatric cardiology : JGC2023

Cholesterol paradox in the community-living old adults: is higher better?

Sheng-Shu Wang, Shan-Shan Yang, Chun-Jiang Pan, Jian-Hua Wang, Hao-Wei Li, Shi-Min Chen, Jun-Kai Hao, Xue-Hang Li, Rong-Rong Li, Bo-Yan Li and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 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
1.4field-weighted citation impact, top 16% 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, 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

19 authors at 3 institutions in 1 country.

Sheng-Shu WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Shan-Shan YangDepartment of Disease Prevention and Control, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Chun-Jiang PanDepartment of Disease Control and Prevention, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing, China.
Jian-Hua WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Hao-Wei LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Shi-Min ChenInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Jun-Kai HaoDepartment of Health Service, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Xue-Hang LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Rong-Rong LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Bo-Yan LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Jun-Han YangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Yue-Ting ShiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Huai-Hao LiInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Ying-Hui BaoInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Wen-Chang WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Sheng-Yan DUInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Yao HeInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Chun-Lin LiInstitute of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Miao LiuDepartment of anti-NBC Medicine, Chinese PLA Medical School, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNBeijing Geriatric Hospital · CNChinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study.

methodsA prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators.

resultsA total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (

conclusionsIn community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.

Identifiers

PMID38161338
PMCPMC10755211
OpenAlexW4390508172

What OpenQuestion holds

Textmetadata
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.