In one paragraphArticle in Journal of personalized medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Ilaria AmbrosiniAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.
Roberto FrancischelloAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-4161-0193 Salvatore Claudio FanniAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-4003-3320 Lorenzo FaggioniAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-5262-4489 Francesca Pia CaputoAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0009-0004-8065-8124 Karolina CwiklinskaAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.
Gayane AghakhanyanNuclear Medicine Unit, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-5152-497X Emanuele NeriAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7950-4559 Riccardo LencioniAcademic Radiology, Department of Surgical, Medical, Molecular Pathology and Emergency Medicine, University of Pisa, 56126 Pisa, Italy.
Dania CioniAcademic Radiology, Department of Surgical, Medical, Molecular Pathology and Emergency Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-5120-886X Funding
European Union - NextGenerationEU National Recovery and Resilience 341 Plan (PNRR), Mission 4, Component 2, Investment 1.3, Project PE_00000019 "HEAL ITALIA", CUP 342 I53C22001440006
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
machine learningmagnetic resonance imagingneoadjuvant therapypredictive modelingradiomicsrectal cancertumor regression grade
Identifiers
PMID42346593
PMCPMC13302377
What OpenQuestion holds
Textmetadata
LicenceCC BY
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