Evidence map›Paper›PMID 34972769›Full record

ArticleBMJ open2021

Development of a hoRizontal data intEgration classifier for NOn-invasive early diAgnosis of breasT cancEr: the RENOVATE study protocol.

Francesco Ravera, Gabriella Cirmena, Martina Dameri, Maurizio Gallo, Valerio Gaetano Vellone, Piero Fregatti, Daniele Friedman, Massimo Calabrese, Alberto Ballestrero, Alberto Tagliafico and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04781062 (Development of a Horizontal Data Integration Classifier for Noninvasive Early Diagnosis of Breast Cancer), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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.

NCT04781062 naunknown statusnot on this map

Development of a Horizontal Data Integration Classifier for Noninvasive Early Diagnosis of Breast Cancer

TypeinterventionalSponsorOspedale Policlinico San MartinoRan2021 to 2024Enrolled367ConditionsBreast CancerArmsBlood and urine molecular analysis (Timing 0), Blood and urine molecular analysis (Timing 1)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 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

12 authors at 2 institutions in 1 country.

Francesco RaveraDepartment of Internal Medicine, Università degli Studi di Genova, Genova, Italy.
Gabriella CirmenaDepartment of Internal Medicine, Università degli Studi di Genova, Genova, Italy.
Martina DameriOspedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico per l'Oncologia, Genova, Italy.
Maurizio GalloDepartment of Internal Medicine, Università degli Studi di Genova, Genova, Italy.
Valerio Gaetano VelloneDepartment of Surgical Sciences and Integrated Diagnostic, Università degli Studi di Genova, Genova, Italy.
Piero FregattiOspedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico per l'Oncologia, Genova, Italy.
Daniele FriedmanOspedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico per l'Oncologia, Genova, Italy.
Massimo CalabreseOspedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico per l'Oncologia, Genova, Italy.
Alberto BallestreroDepartment of Internal Medicine, Università degli Studi di Genova, Genova, Italy.
Alberto Tagliafico *Department of Health Sciences, Università degli Studi di Genova, Genova, Italy.
Lorenzo Ferrando *Ospedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico per l'Oncologia, Genova, Italy.
Gabriele Zoppoli *Department of Internal Medicine, Università degli Studi di Genova, Genova, Italy gabriele.zoppoli@unige.it.ORCID 0000-0002-1619-1708
University of Genoa · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStandard procedures aimed at the early diagnosis of breast cancer (BC) present suboptimal accuracy and imply the execution of invasive and sometimes unnecessary tissue biopsies. The assessment of circulating biomarkers for diagnostic purposes, together with radiomics, is of great potential in BC management. METHODS AND ANALYSIS: This is a prospective translational study investigating the accuracy of the combined assessment of multiple circulating analytes together with radiomic variables for early BC diagnosis. Up to 750 patients will be recruited at their presentation at the Diagnostic Senology Unit of Ospedale Policlinico San Martino (Genoa, IT) for the execution of a diagnostic biopsy after the detection of a suspect breast lesion (t0). Each recruited patient will be asked to donate peripheral blood and urine before undergoing breast biopsy. Blood and urine samples will also be collected from a cohort of 100 patients with negative mammography. For cases with histological diagnosis of invasive BC, a second sample of blood and urine will be collected after breast surgery. Circulating tumour DNA, cell-free methylated DNA and circulating proteins will be assessed in samples collected at t0 from patients with stage I-IIA BC at surgery together with those collected from patients with histologically confirmed benign lesions of similar size and from healthy controls with negative mammography. These analyses will be combined with radiomic variables extracted with freeware algorithms applied to cases and matched controls for which digital mammography is available. The overall goal of the present study is to develop a horizontal data integration classifier for the early diagnosis of BC. ETHICS AND DISSEMINATION: This research protocol has been approved by Regione Liguria Ethics Committee (reference number: 2019/75, study ID: 4452). Patients will be required to provide written informed consent. Results will be published in international peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: NCT04781062.

Indexed as

Breast NeoplasmsBreastEarly Detection of CancerFemaleHumansMammographyProspective Studiesadult oncologybreast imagingbreast tumourscancer geneticshealth informatics

Identifiers

PMID34972769
PMCPMC8720992
OpenAlexW4205711429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.