Evidence map›Paper›PMID 39790705›Full record

ArticleBrain, behavior, & immunity - health2025

Disease management teams in oncology: State of the art and the experience of a scientific institute of hospitalization and treatment (IRCCS) in Rome, Italy.

Marialuisa Appetecchia, Carlotta Amantea, Marco Canfora, Fabrizio Petrone, Gennaro Ciliberto, Ermete Gallo, Laura Figorilli

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. AI assistance in tumor multidisciplinary teams.ESMO real world data and digital oncology · 2026
    Review
  2. Article
  3. Token-Level Attribution for Transparent Biomedical AI.Biomedical engineering and computational biology · 2026
    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

7 authors.

Marialuisa AppetecchiaOncological Endocrinology Unit, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Italy.
Carlotta AmanteaDepartment of Health Science and Public Health, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168, Rome, Italy.
Marco CanforaScientific Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.
Fabrizio PetroneNursing, Technical, Rehabilitation, Assistance and Research Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.
Gennaro CilibertoScientific Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.
Ermete GalloCorporate Health Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.
Laura FigorilliGeneral Direction, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This article analyzes the main coordination needs linked to the diagnosis and treatment of oncological diseases, presenting the various integration tools that our healthcare organization adopted to guarantee continuity of care at the IRCCS IFO (Istituto di Ricovero e Cura a Carattere Scientifico Istituti Fisioterapici Ospitalieri) in Rome. The object of investigation is the disease management team (DMT) organization for the diagnosis and treatment of people suffering from oncological disease and the consequences in terms of improving their management. Methods: The study focuses, in particular, on the analysis of the different organizational methods chosen for the management of activities related to diagnosis and treatment paths. Results: The results, although preliminary, highlight a great variability in the adoption of integrated organizational models by the different DMTs compatible with the heterogeneity of oncological diseases. Conclusion: The results of this study have highlighted that, despite the diversity of the different DMTs created for different oncological pathologies, DMTs guarantee a patient-centered approach and the creation of shared databases, which facilitates the evaluation of progress and the identification of areas for improvement. This analysis has allowed us to obtain a useful map of the models used by the different DMTs, also laying the foundations for more precise evaluations of their effectiveness. The correct evaluation of the effectiveness of DMTs acquires great importance today, especially if we consider that empirical evidence is not yet in agreement on the real effectiveness of this tool with respect to both the qualitative dimension and the efficiency of interventions.

Indexed as

Disease management teamHealthcare organizationOncological diseases

Identifiers

PMID39790705
PMCPMC11713733

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.