Evidence map›Paper›PMID 38125244›Full record

ReviewCureus2023

Familial Hypercholesterolemia: A Literature Review of the Pathophysiology and Current and Novel Treatments.

Yasha N Suryawanshi, Rupesh A Warbhe

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

2 authors.

Yasha N SuryawanshiDepartment of Physiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Rupesh A WarbheDepartment of Pharmacology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is a genetically transmitted disorder. It shows an autosomal dominant mode of inheritance. It is a metabolic disorder. Mutation in chromosome 19 leads to this disorder. Chromosome 19 codes data for low-density lipoprotein (LDL) receptor (LDLR). LDLR either reduces increased LDL levels from the circulation or maintains a normal level of LDL. It precipitates the risk of cardiovascular disease at an early age. Characteristic features of FH are elevated levels of LDL in the blood because of sudden changes in LDLR, which causes a decrease in the clearance of LDL from the blood. Plaque gets deposited in the lumen of the arteries, called atherosclerosis, which occurs at an early young age. If both genes are affected then it is homozygous FH (HoFH); such a case is very rare. When a single gene is affected then that condition is known as heterozygous FH (HeFH). HoFH comes up with more severe cardiac disease than HeFH at an early age. The major cause of FH is a mutation in the LDLR gene while other causes include mutation in various genes like apolipoprotein B (apo B), proprotein convertase subtilisin/kexin type 9 (PCSK9), LDLR adaptor protein 1 (LDLRAP 1). In order to prevent cardiovascular crises due to FH, it must be diagnosed early and treated effectively. With increasing research and advances in medical sciences, many kinds of current and novel therapies are emerging that aim to reduce the level of LDL in blood.

Indexed as

current therapeuticsfamilial hypercholestrolemiaheterozygous familial hypercholesterolemiahomozygous familial hypercholesterolemialow density lipoprotein-cholesterolnovel therapeuticspathophysiology of familial hypercholesterolemia

Identifiers

PMID38125244
PMCPMC10732334

What OpenQuestion holds

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Registered trials

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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.