Evidence map›Paper›PMID 41068303›Full record

ArticleAnnals of hematology2025

Understanding challenges and barriers to quality end-of-life care for patients with hematologic malignancies: a GIMEMA survey.

Leonardo Potenza, Fabio Efficace, Eleonora Borelli, Paola Fazi, Thomas Baldi, Francesca Tartaglia, Francesco Sparano, Claudio Cartoni, Pasquale Niscola, Claudia Mucciarini and 6 more

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Leonardo PotenzaDepartment of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy. leonardo.potenza@unimore.it.
Fabio EfficaceData Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Eleonora BorelliDepartment of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Paola FaziData Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Thomas BaldiData Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Francesca TartagliaData Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Francesco SparanoData Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Claudio CartoniHematology Unit, Department of Translational and Precision Medicine, Sapienza University, AOU Policlinico Umberto I, Rome, Italy.
Pasquale NiscolaHematology Unit, Sant'Eugenio Hospital, Rome, Italy.
Claudia MucciariniMedical Oncology Unit, AUSL Modena, Ramazzini Hospital, Carpi, Modena, Italy.
Oreofe OdejideDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Eduardo BrueraPalliative Care & Rehabilitation Medicine, UT MD Anderson Cancer Center, Houston, TX, USA.
Camilla ZimmermannDepartment of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Marco Vignetti *Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy.
Mario Luppi *Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Elena Bandieri *Oncology and Palliative Care Units, Civil Hospital Carpi, Local Health Agency (USL), Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with hematologic malignancies often receive aggressive end-of-life (EOL) care, which may be partly related to hematologists' discomfort with discontinuing aggressive treatments at EOL. It is therefore important to investigate how hematologists perceive EOL care and how this affects their clinical practice. We assessed a cohort of Italian hematological oncologists through a GIMEMA online survey to explore their attitudes toward standard measures of quality EOL care, their opinions on barriers to providing this care, and potential interventions. EOL quality measures were defined acceptable to hematologist if at least 55% of respondents agreed with their suitability. One-hundred eight-six hematologists completed the survey. Hematologists rated 8 of 13 EOL quality measures as highly acceptable, including no new chemotherapy, no intensive care unit admission, no intubation/cardiopulmonary resuscitation in the last 30 days of life, and hospice admission > 7 days before death. Major barriers to quality EOL care included unrealistic patient expectations, clinician concerns about taking away hope, and uncertainty about what to say. Moreover, 73% admitted to being unfamiliar with discussing goals of care (GOC) or advance care planning (ACP). Suggested interventions for improvement included increasing the availability and timely integration of palliative care, and access to home care services. In conclusion, Italian hematologists find most standard EOL quality measures acceptable, they identify barriers to quality care, and are open to interventions, including early integration of palliative care, to improve patients' EOL care. However, they lack familiarity with GOC and ACP discussions, highlighting the need for communication skills training.

Indexed as

Attitude of Health PersonnelHematologic NeoplasmsQuality of Health CareTerminal CareAdultAdvance Care PlanningAgedFemaleHumansItalyMaleMiddle AgedPalliative CareSurveys and QuestionnairesEnd-of-life careHematologic malignanciesPalliative carePatient care planningSurvey

Identifiers

PMID41068303
PMCPMC12619704

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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.