SynthesisHRB open research2019
Improving palliative and end-of-life care with machine learning and routine data: a rapid review.
Synthesis in HRB open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Improving palliative and end-of-life care with machine learning and routine data: a rapid review.HRB open research · 2019Pooled it
- The PALLI-AI Framework: An Evidence-Informed Checklist for Designing and Reporting Trustworthy Artificial Intelligence Tools in Palliative and End-of-Life Care.Healthcare (Basel, Switzerland) · 2026Article
- Review
- The ethical dimensions of utilizing Artificial Intelligence in palliative care.Nursing ethics · 2025Article
- What gets measured in palliative care? A review and synthesis of routine data collection in 16 countries.Health policy OPEN · 2025Review
- Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use.Royal Society open science · 2025Review
- Integration of rehabilitation and palliative care in cancer management: A futuristic model.World journal of clinical cases · 2025Review
- Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review.JMIR research protocols · 2024Article
- Article
- Article
- Predicting mortality in the very old: a machine learning analysis on claims data.Scientific reports · 2022Article
- Contribution of Synthetic Data Generation towards an Improved Patient Stratification in Palliative Care.Journal of personalized medicine · 2022Review
- Using predicted length of stay to define treatment and model costs in hospitalized adults with serious illness: an evaluation of palliative care.Health economics review · 2021Article
- Leveraging Advances in Artificial Intelligence to Improve the Quality and Timing of Palliative Care.Cancers · 2020Article
- Population-based palliative care planning in Ireland: how many people will live and die with serious illness to 2046?HRB open research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.