MétaCan
Menu
← Back to cohort
Record W4389247209 · doi:10.1182/blood-2023-185735

Multi-Site Randomized Trial of Inpatient Palliative Care for Hospitalized Patients Undergoing Hematopoietic Stem Cell Transplantation

2023· article· en· W4389247209 on OpenAlexaboutno aff
Areej El‐Jawahri, Thomas W. LeBlanc, Alison R. Kavanaugh, Jason A. Webb, James Fausto, Lara Traeger, Joseph A. Greer, Vicki A. Jackson, Nora Horick, Zachariah DeFilipp, Yi‐Bin Chen, Stephanie J. Lee, Jennifer S. Temel

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Hematopoietic stem cell transplantationRandomized controlled trialPalliative careAnxietyHospital Anxiety and Depression ScaleDepression (economics)TransplantationPhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: Patients with hematologic malignancies experience a substantial decline in their quality of life (QOL) and psychological health during their hospitalization for hematopoietic stem cell transplantation (HSCT). Early single center studies established the feasibility and promising preliminary efficacy of integrating palliative care during the HSCT hospitalization. However, data to test the efficacy of this care model across diverse care settings are lacking. Methods: We conducted a multi-site randomized trial among 360 adults with hematologic malignancies undergoing autologous or allogeneic HSCT at three academic institutions. Patients were randomly assigned to an inpatient palliative care intervention (n= 180) versus usual care (n=180), stratified by study site and type of HSCT. Intervention participants met with a palliative care clinician at least twice weekly during the HSCT hospitalization to address their physical and psychological symptoms. Patients assigned to usual care received all supportive care measures provided by the HSCT team and could be seen by palliative care upon request. We assessed patient QOL (Functional Assessment of Cancer Therapy (FACT) - Bone Marrow Transplant), depression and anxiety symptoms (Hospital Anxiety and Depression Scale), post-traumatic stress (PTSD) symptoms (PTSD Checklist), symptom burden (Edmonton Symptom Assessment Scale-Revised), and fatigue (FACT-Fatigue, higher scores indicate lower fatigue) at baseline and week-2 during hospitalization. The primary endpoint was QOL at week-2 during the HSCT hospitalization when patients typically experience their QOL nadir during HSCT. We used analysis of covariance, adjusting for baseline scores, to evaluate the effect of the intervention on patient-reported outcomes at week-2. Results: We enrolled 69.5% (360/518) of eligible patients (mean age = 55.4 (SD=12.5), 61.9% male, 76.6% White, 23.4% racial minorities, 8.7% Hispanic ethnicity, and 50.2% underwent allogeneic HSCT) between October 2018 and July 2022. Compared to those receiving usual care, participants receiving the inpatient palliative care intervention reported better QOL (95.5 vs. 89.3, P<0.001), and lower depression (5.9 vs. 6.9, P=0.041) and PTSD symptoms (26.0 vs. 28.2, P = 0.022) at week-2. Intervention participants also reported lower symptom burden (35.3 vs. 40.1, P=0.018) and better fatigue scores (28.6 vs. 25.6, p=0.014) compared to those assigned to usual care at week-2 during HSCT hospitalization. Anxiety symptoms (HADS-A) did not demonstrate a measurable difference between the two groups at week-2 during HSCT. Conclusions: In this multi-site randomized clinical trial, inpatient palliative care led to substantial improvements in patients' QOL, depression and PTSD symptoms, symptom burden, and fatigue during HSCT hospitalization compared to usual care. Integrated palliative care should be considered a new standard of care for patients hospitalized for HSCT.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.352
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicPalliative Care and End-of-Life Issues→French-language works237,207→