Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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
1 citing paper in PubMed, 3 citations in OpenAlex.
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
13 authors at 1 institution in 1 country.
Jakub StojanowskiDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-0527-2190
Andrzej KoniecznyDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-4966-9771
Łukasz LisDepartment of Nephrology with Transplantation and Internal Medicine Subunits, Regional Specialistic Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.ORCID 0000-0002-4075-6924
Weronika FrosztęgaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
Patrycja BrzozowskaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
Anna CiszewskaDepartment of Nephrology with Transplantation and Internal Medicine Subunits, Regional Specialistic Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Klaudia RydzyńskaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-4259-229X
Michał SrokaDepartment of Nephrology with Transplantation and Internal Medicine Subunits, Regional Specialistic Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Kornelia KrakowskaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
Tomasz GołębiowskiDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0001-5477-2020
Zbigniew HrubyDepartment of Nephrology with Transplantation and Internal Medicine Subunits, Regional Specialistic Hospital, Kamienskiego 73a, 51-124 Wroclaw, Poland.
Mariusz KusztalDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-6502-0374
Magdalena KrajewskaDepartment of Nephrology and Transplantation Medicine, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.ORCID 0000-0002-2632-2409
Wroclaw Medical University · PL
Funding
Wroclaw Medical University SUBZ.C160.23.046
6 · The paper itself
Abstract
The majority of recently published studies indicate a greater incidence and mortality due to
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.
The Artificial Neural Network as a Diagnostic Tool of the Risk of · full record | Socratic