Evidence map›Paper›PMID 35451597›Full record

ReviewHerz2022

[Lipoprotein apheresis : State of the art and case report of the longest HELP treatment worldwide].

Adrienn Tünnemann-Tarr, Julius Ludwig Katzmann, Joachim Thiery, Ulrich Laufs

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Adrienn Tünnemann-TarrKlinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstraße 20, 04103, Leipzig, Deutschland. Adrienn.Tarr@medizin.uni-leipzig.de.
Julius Ludwig KatzmannKlinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstraße 20, 04103, Leipzig, Deutschland.
Joachim ThieryDekanat der Medizinischen Fakultät, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland.
Ulrich LaufsKlinik und Poliklinik für Kardiologie, Universitätsklinikum Leipzig, Liebigstraße 20, 04103, Leipzig, Deutschland.
Klinik und Poliklinik für Neurologie · DEKiel University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipoprotein apheresis is an extracorporeal procedure for the treatment of patients with homozygous familial hypercholesterolemia, patients with severe treatment-resistant hypercholesterolemia and patients with lipoprotein(a) hypercholesterolemia, who show progressive atherosclerotic cardiovascular disease despite optimal treatment. This article reports on the historical developments of the procedures, the most frequently used methods for apheresis as well as the data situation on efficacy and tolerability. Randomized prospective studies on clinical outcomes are not available. Furthermore, the article reports on a patient with homozygous familial hypercholesterolemia and 34 years of treatment with heparin-induced extracorporeal low-density lipoprotein (LDL) precipitation (HELP) apheresis, the longest treatment of this kind worldwide. A second patient with combined heterozygous familial hypercholesterolemia and 31 years of liposorber and HELP apheresis is also described. The observational studies and the case reports demonstrate the safety and long-term tolerability of the procedure.

Indexed as

Blood Component RemovalHypercholesterolemiaHyperlipoproteinemia Type IIHumansLipoproteinsProspective StudiesLipoproteinsAtherosclerosisFamilial hypercholesterolaemiaHeparin-induced extracorporeal LDL precipitationLDL cholesterolLipoprotein(a)

Identifiers

PMID35451597
OpenAlexW4224211648

What Socratic 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 Socratic graph.