Evidence map›Paper›PMID 36497282›Full record

ArticleCancers2022

Promote Community Engagement in Participatory Research for Improving Breast Cancer Prevention: The P.I.N.K. Study Framework.

Michela Franchini, Stefania Pieroni, Francesca Denoth, Marco Scalese Urciuoli, Emanuela Colasante, Massimiliano Salvatori, Giada Anastasi, Cinzia Katia Frontignano, Elena Dogliotti, Sofia Vidali and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors at 4 institutions in 1 country.

Michela FranchiniInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.ORCID 0000-0001-5272-341X
Stefania PieroniInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.ORCID 0000-0002-8130-4967
Francesca DenothInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.ORCID 0000-0002-7825-1753
Marco Scalese UrciuoliInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.ORCID 0000-0002-7470-2422
Emanuela ColasanteInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.
Massimiliano SalvatoriInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.
Giada AnastasiInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.
Cinzia Katia FrontignanoSenologica Srl, 19124 La Spezia, Italy.
Elena DogliottiUmberto Veronesi Foundation, 20122 Milano, Italy.
Sofia VidaliDiagnostic Senology Unit, Azienda Ospedaliero Universitaria Careggi, 50139 Firenze, Italy.ORCID 0000-0001-5982-4387
Edgardo MontrucchioSenologica Srl, 19124 La Spezia, Italy.
Sabrina MolinaroInstitute of Clinical Physiology, National Research Council of Italy, 56124 Pisa, Italy.ORCID 0000-0001-7221-0873
Tommaso SusiniBreast Unit, Gynecology Section, Department of Health Sciences, University of Florence, 50139 Firenze, Italy.ORCID 0000-0002-2320-7202
Jacopo Nori CucchiariDiagnostic Senology Unit, Azienda Ospedaliero Universitaria Careggi, 50139 Firenze, Italy.
Istituto di Fisiologia Clinica · ITAzienda Ospedaliero-Universitaria Careggi · ITFondazione Umberto Veronesi · ITUniversity of Florence · IT

Funding

Umberto Veronesi Foundation not applicable
6 · The paper itself

Abstract

Breast cancer (BC) has overtaken lung cancer as the most common cancer in the world and the projected incidence rates show a further increase. Early detection through population screening remains the cornerstone of BC control, but a progressive change from early diagnosis only-based to a personalized preventive and risk-reducing approach is widely debated. Risk-stratification models, which also include personal lifestyle risk factors, are under evaluation, although the documentation burden to gather population-based data is relevant and traditional data collection methods show some limitations. This paper provides the preliminary results from the analysis of clinical data provided by radiologists and lifestyle data collected using self-administered questionnaires from 5601 post-menopausal women. The weight of the combinations of women's personal features and lifestyle habits on the BC risk were estimated by combining a model-driven and a data-driven approach to analysis. The weight of each factor on cancer occurrence was assessed using a logistic model. Additionally, communities of women sharing common features were identified and combined in risk profiles using social network analysis techniques. Our results suggest that preventive programs focused on increasing physical activity should be widely promoted, in particular among the oldest women. Additionally, current findings suggest that pregnancy, breast-feeding, salt limitation, and oral contraception use could have different effects on cancer risk, based on the overall woman's risk profile. To overcome the limitations of our data, this work also introduces a mobile health tool, the Dress-PINK, designed to collect real patients' data in an innovative way for improving women's response rate, data accuracy, and completeness as well as the timeliness of data availability. Finally, the tool provides tailored prevention messages to promote critical consciousness, critical thinking, and increased health literacy among the general population.

Indexed as

breast cancerdata-driven approachhealth educationhealth literacylifestylemobile health toolspreventionrisk profileself-empowermentsocial network analysis

Identifiers

PMID36497282
PMCPMC9736257
OpenAlexW4309937201

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.