Evidence map›Paper›PMID 24249942›Full record

ReviewDisease markers2013

Lipoprotein(a): a promising marker for residual cardiovascular risk assessment.

Anping Cai, Liwen Li, Ying Zhang, Yujin Mo, Weiyi Mai, Yingling Zhou

Abstract readReview
In one paragraph

Review in Disease markers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. The Emerging Lipid Risk: Lipoprotein(a).Korean circulation journal · 2026
    Review
  2. Review
  3. Lowering of Lipoprotein(a) with Olpasiran.Cardiovascular & hematological disorders drug targets · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Lipoprotein(a): Just an Innocent Bystander in Arterial Hypertension?International journal of molecular sciences · 2023
    Review
  8. Review
  9. Review
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Observational
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.

Anping CaiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Liwen Li
Ying Zhang
Yujin Mo
Weiyi Mai
Yingling Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerotic cardiovascular diseases (CVD) are still the leading cause of morbidity and mortality worldwide, although optimal medical therapy has been prescribed for primary and secondary preventions. Residual cardiovascular risk for some population groups is still considerably high although target low density lipoprotein-cholesterol (LDL-C) level has been achieved. During the past few decades, compelling pieces of evidence from clinical trials and meta-analyses consistently illustrate that lipoprotein(a) (Lp(a)) is a significant risk factor for atherosclerosis and CVD due to its proatherogenic and prothrombotic features. However, the lack of effective medication for Lp(a) reduction significantly hampers randomized, prospective, and controlled trials conducting. Based on previous findings, for patients with LDL-C in normal range, Lp(a) may be a useful marker for identifying and evaluating the residual cardiovascular risk, and aggressively lowering LDL-C level than current guidelines' recommendation may be reasonable for patients with particularly high Lp(a) level.

Indexed as

BiomarkersCholesterol, LDLCoronary Artery DiseaseHumansLipoprotein(a)Risk AssessmentBiomarkersCholesterol, LDLLipoprotein(a)

Identifiers

PMID24249942
PMCPMC3819768

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.