Evidence map›Paper›PMID 37371031›Full record

ArticleCells2023

Proteomic Characterization of SAS Cell-Derived Extracellular Vesicles in Relation to Both BPA and Neutron Irradiation Doses.

Davide Perico, Ying Tong, Lichao Chen, Shoji Imamichi, Yu Sanada, Masamichi Ishiai, Minoru Suzuki, Mitsuko Masutani, Pierluigi Mauri

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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

9 authors at 5 institutions in 2 countries.

Davide PericoInstitute of Biomedical Technologies ITB-CNR, Via Fratelli Cervi 93, 20054 Segrate, Italy.ORCID 0000-0001-8836-9117
Ying TongDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics & Molecular Medicine, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0009-0004-9476-8359
Lichao ChenCentral Radioisotope Division, National Cancer Center Research Institute, Tokyo 104-0045, Japan.
Shoji ImamichiDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics & Molecular Medicine, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0003-4131-6258
Yu SanadaInstitute for Integrated Radiation and Nuclear Science, Kyoto University, Osaka 590-0494, Japan.
Masamichi IshiaiCentral Radioisotope Division, National Cancer Center Research Institute, Tokyo 104-0045, Japan.ORCID 0000-0003-4313-9945
Minoru SuzukiInstitute for Integrated Radiation and Nuclear Science, Kyoto University, Osaka 590-0494, Japan.
Mitsuko MasutaniDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics & Molecular Medicine, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0003-2631-4334
Pierluigi MauriInstitute of Biomedical Technologies ITB-CNR, Via Fratelli Cervi 93, 20054 Segrate, Italy.ORCID 0000-0003-4364-0393
Japan Radioisotope Association · JPKyoto University · JPInstitute of Biomedical Technologies · ITNagasaki University · JPScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Boron neutron capture therapy (BNCT) is a selective radiotherapy based on nuclear reaction that occurs when

Indexed as

Boron Neutron Capture TherapyExtracellular VesiclesBoron CompoundsNeutronsProteomicsTandem Mass SpectrometryBoron CompoundsBNCTBPAextracellular vesiclesLC-MSproteomics

Identifiers

PMID37371031
PMCPMC10296566
OpenAlexW4379536770

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.