Evidence map›Paper›PMID 37087708›Full record

ArticleHerz2023

A practical approach for the treatment of post-COVID symptoms.

Juliane Heitmann, Julian Kreutz, Sümeya Aldudak, Elisabeth Schieffer, Bernhard Schieffer, Ann-Christin Schäfer

Open access · bronzeAbstract read
In one paragraph

Article in Herz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Juliane HeitmannDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany.
Julian KreutzDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany.
Sümeya AldudakDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany.
Elisabeth SchiefferDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany.
Bernhard SchiefferDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany.
Ann-Christin SchäferDepartment of Cardiology, Angiology, and Intensive Care Medicine, Philipps University of Marburg, Baldinger Str., 35043, Marburg, Germany. ann-christin.schaefer@uk-gm.de.
Philipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past 3 years, our daily lives have been largely dictated by the coronavirus disease 2019 (COVID-19) pandemic. In many people, this infectious disease leads to long-lasting symptoms, which can vary greatly in form and intensity between individuals. This report describes the case of a young patient who had no health restrictions until she came into contact with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As part of a post-COVID syndrome, she not only temporarily lost her ability to work, but was also no longer able to manage her daily life independently. A crucial therapeutic approach, in this case, was the use of heparin-induced extracorporeal LDL/fibrinogen precipitation (H.E.L.P.) apheresis.

Indexed as

COVID-19FemaleHeparinHumansPandemicsSARS-CoV-2HeparinChronic conditionCOVID 19H.E.L.P. apheresisHyperlipoproteinemiaLong COVID

Identifiers

PMID37087708
PMCPMC10122758
OpenAlexW4366776696

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.