Evidence map›Paper›PMID 34943290›Full record

ArticleChildren (Basel, Switzerland)2021

A New Web Score to Predict Health Status in Paediatric Patients with Chronic Diseases: Design and Development of the PENSAMI Study.

Francesca Mastorci, Lamia Ait-Ali, Pierluigi Festa, Marco Martini, Luigi Gagliardi, Giovanni Calabri, Giancarlo La Marca, Gabriele Trivellini, Anselmo Casu, Stefano Dalmiani and 3 more

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2021. 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
0.2field-weighted citation impact, top 39% 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, 2 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

13 authors at 5 institutions in 1 country.

Francesca MastorciClinical Physiology Institute, Consiglio Nazionale delle Ricerche Area della Ricerca di Pisa (CNR), 56124 Pisa, Italy.ORCID 0000-0002-9415-3715
Lamia Ait-AliClinical Physiology Institute, Consiglio Nazionale delle Ricerche Area della Ricerca di Pisa (CNR), 56124 Pisa, Italy.
Pierluigi FestaFondazione G. Monasterio, Regione Toscana, 56226 Pisa, Italy.
Marco MartiniPediatric Allergology and Pulmonology, San Donato Hospital, 52100 Arezzo, Italy.
Luigi GagliardiPediatric Unit, Usl Nord Ovest Toscana, 55041 Viareggio, Italy.ORCID 0000-0001-6074-8975
Giovanni CalabriUnit of Pediatric Cardiology, Azienda Ospedaliero-Universitaria Meyer, 50139 Firenze, Italy.ORCID 0000-0002-7256-3916
Giancarlo La MarcaNewborn Screening, Clinical Chemistry and Pharmacology Lab Meyer Children's Hospital, 50139 Firenze, Italy.
Gabriele TrivelliniClinical Physiology Institute, Consiglio Nazionale delle Ricerche Area della Ricerca di Pisa (CNR), 56124 Pisa, Italy.
Anselmo CasuClinical Physiology Institute, Consiglio Nazionale delle Ricerche Area della Ricerca di Pisa (CNR), 56124 Pisa, Italy.
Stefano DalmianiFondazione G. Monasterio, Regione Toscana, 56226 Pisa, Italy.ORCID 0000-0002-2010-9164
Paolo MarcheschiFondazione G. Monasterio, Regione Toscana, 56226 Pisa, Italy.ORCID 0000-0001-6682-705X
Simona CeliFondazione G. Monasterio, Regione Toscana, 56226 Pisa, Italy.
Alessandro PingitoreClinical Physiology Institute, Consiglio Nazionale delle Ricerche Area della Ricerca di Pisa (CNR), 56124 Pisa, Italy.ORCID 0000-0002-4049-184X
Istituto di Fisiologia Clinica · ITFondazione Toscana Gabriele Monasterio · ITMeyer Children's Hospital · ITAzienda Usl Toscana Centro · ITOspedale San Donato · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paediatric chronic diseases (CD) are characterised by their ongoing duration and the fact that they are often managed throughout the lifespan, with the need to adjust lifestyle and expectations with the limitations coming from the CD. The aim of the PENSAMI study is to not only cure the disease, but to also care for the person from a clinical and psychosocial perspective. Data will be collected from 150 paediatric patients affected by heart disease, diabetes, and asthma admitted during in-hospital stay or outpatient visits, and from 200 healthy control subjects. The protocol will consist of two phases. The first one will aim at elaborating the predictive model by detecting (clinical, anthropometric at birth, environmental, lifestyle, social context, emotional state, and mental abilities) in order to develop a model predictive of the events considered: (1) re-hospitalisation; (2) severity and progression of the disease; (3) adherence to therapy; (4) HRQoL; (5) obesity and metabolic syndrome; (6) illness-stress related; (7) school drop-out; (8) school performance. The second one will address validating the previous predictive model. This model will aim to: (1) understand, prevent, and halt the progression of childhood CD; (2) develop new and improved diagnostic tools; (3) pave the way for innovative treatments and additional therapies to traditional clinical practice; and (4) create truly personalised therapeutic and preventive strategies in various sectors, such as cardiology, diabetes, and respiratory diseases.

Indexed as

chronic degenerative diseasescomprehensive integrated health algorithmontologypaediatric patientsprecision medicinequality of life

Identifiers

PMID34943290
PMCPMC8700591
OpenAlexW3217722128

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.