Evidence map›Paper›PMID 38454317›Full record

ArticlePalliative medicine2024

Creating more comparable cohorts in observational palliative care studies: A proposed framework to improve applicability and replicability of research.

Slavica Kochovska, Fliss Em Murtagh, Meera Agar, Jane L Phillips, Deborah Dudgeon, Sanja Lujic, Miriam J Johnson, David C Currow

Abstract read
In one paragraph

Article in Palliative medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Slavica KochovskaFaculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
Fliss Em MurtaghWolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK.ORCID 0000-0003-1289-3726
Meera AgarIMPACCT, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.
Jane L PhillipsSchool of Nursing, Faculty of Health, University of Technology Queensland, Brisbane, QLD, Australia.
Deborah DudgeonDepartment of Medicine, Queen's University, Kingston, ON, Canada.
Sanja LujicCentre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
Miriam J JohnsonWolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK.ORCID 0000-0001-6204-9158
David C CurrowFaculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.ORCID 0000-0003-1988-1250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPalliative care is characterised by heterogeneous patient and caregiver populations who are provided care in different health systems and a research base including a large proportion of observational, mostly retrospective studies. The inherent diversity of palliative care populations and the often inadequate study descriptions challenge the application of new knowledge into practice and reproducibility for confirmatory studies. Being able to define systematically study populations would significantly increase their generalisability and effective translation into practice. PROPOSAL: Based on an informal consensus process by active palliative care researchers challenged by this problem and a review of the current evidence, we propose an approach to creating more comparable cohorts in observational (non-randomised) palliative care studies that relies on defining the study population in relation to a fixed, well-defined event from which analyses are built ('anchoring'). In addition to providing a detailed and complete description of the study population, anchoring is DISCUSSION: Anchoring the cohort to reproducible data points will help create more comparable cohorts in palliative care whilst mitigating its inherent heterogeneity. This, in turn, will help optimise the generalisability, applicability and reproducibility of observational palliative care studies to strengthen the evidence base and improve practice.

Indexed as

Observational Studies as TopicPalliative CareResearch DesignCohort StudiesHumansReproducibility of Resultsapplicabilityheterogeneity of populationsnon-randomised studiesobservational studiesPalliative carereproducibility

Identifiers

PMID38454317
PMCPMC11157983

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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.