Article in Current issues in molecular biology, 2025. 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
–field-weighted citation impact
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.
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.
Grigory DemyashkinDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.ORCID 0000-0001-8447-2600
Dmitrii AtiakshinResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, Peoples' Friendship University of Russia (RUDN University), Miklukho-Maklaya st., 6, 117198 Moscow, Russia.ORCID 0000-0002-8347-4556
Kirill SilakovResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, Peoples' Friendship University of Russia (RUDN University), Miklukho-Maklaya st., 6, 117198 Moscow, Russia.ORCID 0009-0000-2073-3699
Vladimir ShchekinDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.ORCID 0000-0003-3763-7454
Maxim BobrovResearch and Educational Resource Center for Immunophenotyping, Digital Spatial Profiling and Ultrastructural Analysis Innovative Technologies, Peoples' Friendship University of Russia (RUDN University), Miklukho-Maklaya st., 6, 117198 Moscow, Russia.
Olga AbramovaDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.
Matvey VadyukhinDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.ORCID 0000-0002-6235-1020
Tatyana BorovayaDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.
Ekaterina BlinovaLaboratory of Histology and Immunohistochemistry, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Trubetskaya st., 8/2, 119048 Moscow, Russia.
Petr ShegayDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.
Andrei KaprinDepartment of Digital Oncomorphology, National Medical Research Centre of Radiology, 2nd Botkinsky, 3, 125284 Moscow, Russia.
Funding
RUDN University Scientific Projects Grant System 210506-0-000
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.
Phenotypic and Quantitative Characterization of Mast Cells in Cutaneous Melanoma: Correlation with Staging Metrics. · full record | OpenQuestion