Evidence map›Paper›PMID 37488154›Full record

Trial reportScientific reports2023

Computational reactive-diffusive modeling for stratification and prognosis determination of patients with breast cancer receiving Olaparib.

Francesco Schettini, Maria Valeria De Bonis, Carla Strina, Manuela Milani, Nicoletta Ziglioli, Sergio Aguggini, Ignazio Ciliberto, Carlo Azzini, Giuseppina Barbieri, Valeria Cervoni and 8 more

Open access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 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
1.1field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

18 authors at 8 institutions in 3 countries.

Francesco Schettini *Medical Oncology Department, Hospital Clinic of Barcelona, C. Villaroel 170, 08036, Barcelona, Spain. schettini@recerca.clinic.cat.
Maria Valeria De Bonis *Department for Sustainable Food Process, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Carla StrinaDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Manuela MilaniDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Nicoletta ZiglioliDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Sergio AgugginiDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Ignazio CilibertoDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Carlo AzziniDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Giuseppina BarbieriDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Valeria CervoniDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Maria Rosa CappellettiDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy.
Giuseppina FerreroUO Anatomia Patologica ASST di Cremona, Cremona, Italy.
Marco UngariUO Anatomia Patologica ASST di Cremona, Cremona, Italy.
Mariavittoria LocciDepartment of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy.
Ida ParisDepartment of Woman and Child Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Giovanni ScambiaDepartment of Woman and Child Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Gianpaolo RuoccoModeling and Prototyping Laboratory, College of Engineering, University of Basilicata, Potenza, Italy.
Daniele GeneraliDepartment of Medicine, Surgery and Health Sciences, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy. dgenerali@units.it.
Ospedale di Cattinara · ITUniversity of Trieste · ITIstituti Ospitalieri di Cremona · ITUniversità Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · ITConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESUniversity of Basilicata · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical models based on partial differential equations (PDEs) can be exploited to handle clinical data with space/time dimensions, e.g. tumor growth challenged by neoadjuvant therapy. A model based on simplified assessment of tumor malignancy and pharmacodynamics efficiency was exercised to discover new metrics of patient prognosis in the OLTRE trial. We tested in a 17-patients cohort affected by early-stage triple negative breast cancer (TNBC) treated with 3 weeks of olaparib, the capability of a PDEs-based reactive-diffusive model of tumor growth to efficiently predict the response to olaparib in terms of SUV

Indexed as

Triple Negative Breast NeoplasmsDiethylstilbestrolHumansKi-67 AntigenPhthalazinesPiperazinesPositron Emission Tomography Computed TomographyDiethylstilbestroldiethylstilbestrol monophosphateKi-67 AntigenolaparibPhthalazinesPiperazines

Identifiers

PMID37488154
PMCPMC10366144
OpenAlexW4385220597

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.