ReviewHerz2022
[Lipid lowering: new agents and new concepts].
Review in Herz, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Low-density lipoprotein (LDL) cholesterol (LDL-C) is a causal risk factor for cardiovascular complications. A target value is set according to risk, guideline-based and individual basis. We now have the means to lower LDL‑C levels to ranges that are even associated with plaque volume regression. Moreover, lipid treatment is an example of how pharmacotherapy has evolved from classical selective inhibition of enzymes by drugs (e.g. statins) to targeted neutralization of proteins by antibodies. The reduction of atherogenic lipoproteins by specific inhibition or reduction of mRNA of target proteins, e.g. PCSK‑9, ANGPLT3, ApoC-III or Apo (a), and possibly one day by vaccination or even CRISP-based gene therapy will in the long term lead to new concepts in the treatment and prevention of dyslipidemia and cardiovascular complications. The cumulative exposure of atherogenic lipoproteins to the vessel wall is determined by the time-averaged LDL‑C level. This essentially depends on patient adherence and prescribed treatment intensity by physicians. Therefore, it is likely that treatment adherence influences the cumulative benefit of treatment. Accordingly, the new therapeutic strategies mentioned above with presumably higher adherence rates could help to optimize cardiovascular prevention. Early and effective LDL‑C lowering could drastically reduce the incidence of cardiovascular complications in the long term and help to maintain the health of our patients.
Indexed as
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What OpenQuestion holds
Registered trials
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.