Evidence map›Paper›PMID 41215659›Full record

ArticlePalliative & supportive care2025

Communicating bad news in oncology and hematology settings: A statistic and Large Language Model for interpreting nurses' difficulties and emotions.

Elsa Vitale, Luana Conte, Marco Cioce, Patrizia Cornacchione, Angela Capuano, Raffaella Massafra, Ludovica Panzanaro, Giorgio De Nunzio, Matteo Steduto, Chiara Visintini and 6 more

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In one paragraph

Article in Palliative & supportive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Elsa VitaleScientific Directorate, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.ORCID https://orcid.org/0000-0002-9738-3479
Luana ConteDepartment of Physics and Chemistry, University of Palermo, Palermo, Italy.
Marco CioceDepartment UOC SITRA, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Patrizia CornacchioneDepartment UOC SITRA, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Angela CapuanoUOC Fisica per le Scienze della Vita, Dipartimento di Diagnostica per Immagini e Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Raffaella MassafraScientific Directorate, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Ludovica PanzanaroDepartment of Emergency, AORN Santobono-Pausilipon, Naples, Italy.
Giorgio De NunzioAdvanced Data Analysis in Medicine (ADAM), Laboratory of Interdisciplinary Research Applied to Medicine (DReAM), University of Salento and ASL (Local Health Authority) Lecce, Lecce, Italy.
Matteo StedutoHaematological Intensive Care Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Chiara VisintiniHaematology and Stem Cell Transplantation Unit, Udine University Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Sara ErrichielloHaematology and Stem Cell Transplantation Unit, Udine University Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Alfonso ParisiDivision of Hematology and Bone Marrow Transplant, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Nazionale dei Tumori, Milan, Italy.
Gabriele SpertiDepartment of Hematology and Bone Marrow Transplant, Hospital Card. G. Panico, Tricase, Italy.
Olga PomesUniversity Cardiology Department, University Hospital Consortium Polyclinic of Bari, Bari, Italy.
Roberto LupoSan Giuseppe da Copertino Hospital, ASL (Local Health Authority) Lecce, Lecce, Italy.
Stefano BottiHematology Unit, Azienda USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn effective communication seemed to be crucial in all the cancer care phases, like diagnosis, prognosis, and treatment options.

objectivesTo analyze and interpret structured and open-ended questionnaire responses, focusing on the communication of bad news in onco-hematology: health care professionals' attitudes, communication methods, and perceived stress levels.

methodsBy employing a free Large Language Model, we identified and summarized the main emotions and perspectives shared by professionals.

resultsA total of 221 Italian nurses and physicians employed in onco-hematology field were enrolled. The analysis revealed key emotional themes, offering insights into the professionals' emotional states and coping mechanisms when delivering difficult news. SIGNIFICANCE OF

resultsData highlighted the duality of emotions experienced by nurses when delivering bad news - balancing professional composure with emotional distress, underscoring the critical role of empathy, team support, and adequate preparation in helping nurses navigate these challenging conversations.

Indexed as

CommunicationEmotionsHematologyMedical OncologyNursesTruth DisclosureAdultAttitude of Health PersonnelFemaleHumansItalyLarge Language ModelsMaleMiddle AgedQualitative ResearchSurveys and QuestionnairesBad newscommunicationgenerative artificial intelligence (GAI)hematologyoncologysetting

Identifiers

PMID41215659
PMCPMC13166593

What Socratic 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 Socratic graph.