Evidence map›Paper›PMID 34676492›Full record

SynthesisJournal of endocrinological investigation2022

A dose-response meta-analysis to evaluate the relationship between high-density lipoprotein cholesterol and all-cause and cardiovascular disease mortality.

L Liu, M Han, R Qie, Q Li, X Zhang, J Zhang, S Zhan, L Zhang, Z Xu, C Zhang and 1 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of endocrinological investigation, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

L LiuSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
M HanCollege of Public Health, Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
R QieCollege of Public Health, Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Q LiCollege of Public Health, Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
X ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
J ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
S ZhanSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
L ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
Z XuSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
C ZhangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China.
F HongSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, Guizhou, People's Republic of China. fhong@gmc.edu.cn.

Funding

National Key R&D Program of China 2017YFC0907301Science and Technology Plan Project of Guizhou Province, China QKHPTRC[2018]5403
6 · The paper itself

Abstract

purposePrevious studies have not fully described the relationship between high-density lipoprotein cholesterol (HDL-C) and death risks from all cause and cardiovascular disease (CVD). This study quantitatively evaluates HDL-C-mortality associations.

methodsEmbase and PubMed databases were searched for relevant articles published up to 1 June 2019. Random-effects models were used to pool relative risks (RRs) and 95% confidence intervals (CIs). We used restricted cubic splines to model the dose-response association.

resultsWe identified 32 prospective cohort studies including 369,904 participants and 33,473 total deaths (9426 CVD deaths). Compared to the lowest HDL-C levels, all cause and CVD mortality risks were reduced by 18% (RR 0.82; 95% CI, 0.73-0.93) and 36% (0.64, 0.46-0.89), respectively, for the highest HDL-C levels. All cause and CVD mortality risks were reduced by 15% (0.85, 0.79-0.92) and 23% (0.77, 0.69-0.87), respectively, with each 1 mmol/L increment of HDL-C. We found evidence of nonlinear and negative dose-response associations of HDL-C with all cause and CVD mortality (P

conclusionHDL-C is inversely associated with all cause and CVD mortality risks under approximately 2.05 and 2.33 mmol/L, respectively. Optimal doses require investigation via clinical practice or high-quality research.

Indexed as

Cardiovascular DiseasesCausalityCause of DeathCholesterol, HDLHumansRisk AssessmentRisk FactorsCholesterol, HDLDose–responseHigh-density lipoprotein cholesterolMeta-analysisMortalityProspective cohort studiesRisk

Identifiers

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.