Evidence map›Paper›PMID 36330473›Full record

ArticleFrontiers in oncology2022

A bone-based 3D scaffold as an

Jessica Ceccato, Maria Piazza, Marco Pizzi, Sabrina Manni, Francesco Piazza, Ilaria Caputo, Francesco Cinetto, Lorena Pisoni, Diletta Trojan, Riccardo Scarpa and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

15 authors.

Jessica CeccatoHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Maria PiazzaHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Marco PizziSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Sabrina ManniHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Francesco PiazzaHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Ilaria CaputoHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Francesco CinettoInternal Medicine and Allergology and Clinical Immunology Units, Treviso Ca' Foncello Hospital, Treviso, Italy.
Lorena PisoniHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Diletta TrojanTreviso Tissue Bank Foundation, Treviso, Italy.
Riccardo ScarpaInternal Medicine and Allergology and Clinical Immunology Units, Treviso Ca' Foncello Hospital, Treviso, Italy.
Renato ZambelloHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Angelo Paolo Dei TosSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy.
Livio TrentinHematology Unit, Department of Medicine, University of Padua, Padua, Italy.
Gianpietro SemenzatoLaboratory of Myeloma and Lymphoma Pathobiology, Veneto Institute of Molecular Medicine (VIMM) and Foundation for Advanced Biomedical Research (FABR), Padua, Italy.
Fabrizio VianelloHematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 30% of patients with diffuse large B-cell lymphoma (DLBCL) relapse or exhibit refractory disease (r/r DLBCL) after first-line immunochemotherapy. Bone marrow (BM) involvement confers a dismal prognosis at diagnosis, likely due to the interaction between neoplastic cells and a complex tumor microenvironment (TME). Therefore, we developed a 3D

Indexed as

3Ddiffuse B-cell lymphomaextracellular matrixmesenchymal stroma cellorganoidscaffold

Identifiers

PMID36330473
PMCPMC9623125

What OpenQuestion holds

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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.