Samuel Aymard, Benjamin Leroy-Freschini, Ashjan Kaseb, David Marx, Mehdi Helali, Gerlinde Averous, Valérie Betz, Sophie Riehm, Michel Vix, Peggy Perrin and 1 more
Article in Diagnostics (Basel, Switzerland), 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
1.0field-weighted citation impact, top 26% 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, 5 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
11 authors at 6 institutions in 3 countries.
Samuel AymardDepartment of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, 67200 Strasbourg, France.
Benjamin Leroy-FreschiniDepartment of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, 67200 Strasbourg, France.
Ashjan KasebDepartment of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, 67200 Strasbourg, France.
David MarxDepartment of Medicine C, Hôpital de Sélestat, 67600 Sélestat, France.ORCID 0000-0002-5804-671X
Mehdi HelaliDepartment of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, 67200 Strasbourg, France.
Gerlinde AverousDepartment of Pathology, Strasbourg University Hospitals, University of Strasbourg, 67000 Strasbourg, France.
Valérie BetzDepartment of Nephology, Hôpital de Colmar, 68024 Colmar, France.
Sophie RiehmDepartment of Radiology, Strasbourg University Hospitals, 67098 Strasbourg, France.
Michel VixDepartment of General, Digestive, and Endocrine Surgery, IRCAD-IHU, Strasbourg University Hospitals, 67000 Strasbourg, France.ORCID 0000-0002-9303-2364
Peggy PerrinDepartment of Nephrology and Transplantation, Strasbourg University Hospitals, University of Strasbourg, 67000 Strasbourg, France.ORCID 0000-0001-7343-5943
Alessio ImperialeDepartment of Nuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University of Strasbourg, 67200 Strasbourg, France.
Institut de Cancérologie Strasbourg · FRUniversité de Strasbourg · FRCentre National de la Recherche Scientifique · FRHopitaux Civils de Colmar · FRInstitut de Recherche contre les Cancers de l’Appareil Digestif · FRInstituto Florestal · BR
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Hyperparathyroidism (HPT) in patients with chronic kidney disease (CKD) includes secondary (sHPT) and tertiary hyperparathyroidism (tHPT). Considering that the role of preoperative imaging in the clinical setting is controversial, in the present study we have retrospectively compared pre-surgical diagnostic performances of
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.