ReviewCureus2020
Revisiting Early Palliative Care for Patients With Hematologic Malignancies and Bone Marrow Transplant: Why the Delay?
Review in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Early Palliative Care in Advanced Hematologic Malignancies: A Systematic Review of Patient-Centered Outcomes.Healthcare (Basel, Switzerland) · 2025Review
- Nursing-Led Early Palliative Care Referrals for Patients Receiving Chimeric Antigen Receptor T-Cell Therapy.Clinical journal of oncology nursing · 2025Article
- Is shared decision making an aspect of palliative care integration? An observation of collaboration between oncologists and palliative care professionals.BMC palliative care · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Palliative care has been defined as specialized care for patients facing serious illnesses. Despite advancements in the field and studies documenting the effectiveness of early palliative care (PC) interventions in seriously ill patients, the fields of hematologic malignancies and bone marrow transplant still lag behind of a comprehensive framework for early and effective interventions. The aim of this literature review is to analyze and discuss the possible barriers to care and delayed referrals for hematologic malignancies and bone marrow transplant patients. Using the EBSCO and PubMed databases, articles regarding PC among patients with hematologic malignancies and bone marrow transplant were analyzed. There are three main domains with its respective barriers in PC: physicians, patients and caregivers, and the healthcare system. Issues that were identified included the lack of knowledge and misconceptions about PC among physicians, patients, and caregivers, delayed referral of patients with hematologic malignancies, unrealistic treatment expectations, lack of communication between specialties, difficulties with appointment availability, geographical distance between clinics, and lack of insurance coverage for PC services. We suggest possible alternatives including obligatory continuing medical education (CME) credits, loan forgiveness, rotations during residency and fellowship training, use of informational videos and pamphlets to educate patients and caregivers, obligatory early consults despite prognosis, an algorithm to evaluate patient's needs, creating a platform within electronic medical records (EMR) systems shared by specialties, and having PC service in every cancer center. Findings suggest a need for further studies aimed towards implementing solutions to increase the early referral of patients with hematologic malignancies and bone marrow transplantation (BMT) to palliative care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.