Evidence map›Paper›PMID 38675168›Full record

ArticlePharmaceutics2024

l-Ornithine-l-Aspartate (LOLA) Normalizes Metabolic Parameters in Models of Steatosis, Insulin Resistance and Metabolic Syndrome.

Ali Canbay, Oliver Götze, Ozlem Kucukoglu, Sönke Weinert, Roland S Croner, Theodor Baars, Mustafa K Özçürümez, Robert K Gieseler

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Liver Diseases: Science, Fiction and the Foreseeable Future.Journal of personalized medicine · 2024
    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

8 authors at 2 institutions in 1 country.

Ali CanbayDepartment of Internal Medicine, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.ORCID 0000-0001-6069-7899
Oliver GötzeDepartment of Internal Medicine, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.
Ozlem KucukogluDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Otto-von-Guericke University, 39120 Magdeburg, Germany.
Sönke WeinertDepartment of Cardiology, Medical Faculty, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-7201-0836
Roland S CronerDepartment of General, Visceral, Vascular and Transplantation Surgery, Medical Faculty, Otto-von-Guericke University, 39120 Magdeburg, Germany.ORCID 0000-0001-6248-7086
Theodor BaarsDepartment of Internal Medicine, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.ORCID 0000-0002-1862-6461
Mustafa K ÖzçürümezDepartment of Internal Medicine, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.
Robert K GieselerDepartment of Internal Medicine, University Hospital, Knappschaftskrankenhaus, Ruhr University Bochum, 44892 Bochum, Germany.ORCID 0000-0002-3064-8516
Universitätsklinikum Knappschaftskrankenhaus Bochum · DEOtto-von-Guericke-Universität Magdeburg · DE

Funding

Merz (Germany) NoneWilhelm Laupitz Foundation, Düsseldorf, Germany None
6 · The paper itself

Abstract

l-Ornithine- l-aspartate (LOLA) reduces toxic ammonium (NH

Indexed as

ammoniainsulin resistancemetabolic syndromemitochondriaNAFLNASHsteatosis

Identifiers

PMID38675168
PMCPMC11054838
OpenAlexW4394579684

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.