Evidence map›Paper›PMID 38097241›Full record

ArticleBMJ open2023

Non-high-density lipoprotein cholesterol levels as a risk factor for short-term mortality in elderly Chinese: a large-scale, population-based cohort study.

Weiwei Xiao, Shiqi Liu, Zheng Huang, Donghui Jin, Yiping Yang, Fei Li, Jingwen Duan, Jie Wang, Yalan Li, Peizhi Deng and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
0.6field-weighted citation impact, top 27% 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, 2 citations in OpenAlex.

  1. Article
  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

16 authors at 3 institutions in 2 countries.

Weiwei Xiao *General Medicine Department, Hunan Provincial People's Hospital, Changsha, Hunan, China.
Shiqi Liu *Chlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Zheng HuangNeurosurgery, Xiangya Hospital Central South University, Changsha, Hunan, China.
Donghui JinDisease Control and Prevention of Hunan Province, Changsha, Hunan, China.
Yiping YangChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Fei LiChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Jingwen DuanChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Jie WangChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Yalan LiChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Peizhi DengChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Wei WangChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Changjiang MengChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Jingjing WuChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Jingjing CaiCentral South University Third Xiangya Hospital, Changsha City, China.ORCID 0000-0002-7820-536X
Yan LiChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China liyan4569@163.com.ORCID 0000-0001-9415-4016
Yuan HongChlinical Research Center, Central South University Third Xiangya Hospital, Changsha, Hunan, China.
Central South University · CNGeneral Department of Preventive Medicine · VNHunan Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association between non-high-density lipoprotein (non-HDL) and mortality risk, both short-term and long-term, in Chinese people.

designA prospective cohort study.

settingThe National Basic Public Health Service (BPHS) in China.

participantsIncluding 621 164 elderly individuals around Hunan Province who underwent healthcare management receiving check-ups in China BPHS from 2010 to 2020. EXCLUSION CRITERIA: (1) missing information on gender; (2) missing records of lipid screening; (3) missing information on key covariates; and (4) missing records of comorbidities (cardiovascular disease, hypertension, diabetes, cancer.) PRIMARY AND SECONDARY OUTCOME MEASURES: The study's primary endpoint was all-cause and cause-specific mortality, sourced from Hunan's CDC(Center for Disease Control and Prevention)-operated National Mortality Surveillance System, tracking participants until 24 February 2021.

results26 758 (4.3%) deaths were recorded, with a median follow-up of 0.83 years. Association between non-HDL and mortality was non-linear after multivariable adjustment, with the optimum concentration (OC) being 3.29 and 4.85 mmol/L. Compared with OC, the risk increased by 1.12-fold for non-HDL <3.29 mmol/L (HR: 1.12 (1.09 to 1.15)) and 1.08-fold for non-HDL ≥4.85 mmol/L (HR: 1.08 (1.02 to 1.13)) for all-cause mortality. Furthermore, there is also an increased risk of cardiovascular mortality (HR

conclusionsNon-HDL was non-linearly associated with the risk of mortality, and non-optimal concentrations of non-HDL significantly increased short-term mortality in elderly Chinese, which needs more attention for cardiovascular disease prevention.

Indexed as

Cardiovascular DiseasesNeoplasmsAgedCholesterolCholesterol, HDLCholesterol, LDLCohort StudiesEast Asian PeopleHumansLipoproteinsProspective StudiesRisk FactorsCholesterolCholesterol, HDLCholesterol, LDLlipoprotein cholesterolLipoproteinsAdult cardiologyAgingCardiac EpidemiologyChinaLipid disorders

Identifiers

PMID38097241
PMCPMC10728999
OpenAlexW4389741329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.