Evidence map›Paper›PMID 37586031›Full record

SynthesisPalliative medicine2023

What outcomes do studies use to measure the impact of prognostication on people with advanced cancer? Findings from a systematic review of quantitative and qualitative studies.

Caitlin Spooner, Bella Vivat, Nicola White, Andrea Bruun, Gudrun Rohde, Pei Xing Kwek, Patrick Stone

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Palliative medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 3 institutions in 3 countries.

Caitlin SpoonerMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID 0000-0002-5844-3168
Bella VivatMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID 0000-0002-0587-5688
Nicola WhiteMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID 0000-0002-7438-0072
Andrea BruunMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID 0000-0001-9620-0290
Gudrun RohdeMarie Curie Palliative Care Research Department, University College London, London, UK.ORCID 0000-0002-8538-7237
Pei Xing KwekUniversity College Dublin School of Medicine, University College Dublin, Dublin, Ireland.
Patrick StoneMarie Curie Palliative Care Research Department, University College London, London, UK.
University College London · GBUniversity College Dublin · IEUniversity of Agder · NO

Funding

Marie Curie MCCC-FCH-18-UMarie Curie MCCC-FCO-11-U
6 · The paper itself

Abstract

backgroundStudies evaluating the impact of prognostication in advanced cancer patients vary in the outcomes they measure, and there is a lack of consensus about which outcomes are most important.

aimTo identify outcomes previously reported in prognostic research with people with advanced cancer, as a first step towards constructing a core outcome set for prognostic impact studies.

designA systematic review was conducted and analysed in two subsets: one qualitative and one quantitative. (PROSPERO ID: CRD42022320117; 29/03/2022). DATA SOURCES: Six databases were searched from inception to September 2022. We extracted data describing (1) outcomes used to measure the impact of prognostication and (2) patients' and informal caregivers' experiences and perceptions of prognostication in advanced cancer. We classified findings using the Core Outcome Measures in Effectiveness Trials (COMET) initiative taxonomy, along with a narrative description. We appraised retrieved studies for quality, but quality was not a basis for exclusion.

resultsWe identified 42 eligible studies: 32 quantitative, 6 qualitative, 4 mixed methods. We extracted 70 outcomes of prognostication in advanced cancer and organised them into 12 domains: (1) survival; (2) psychiatric outcomes; (3) general outcomes; (4) spiritual/religious/existential functioning/wellbeing, (5) emotional functioning/wellbeing; (6) cognitive functioning; (7) social functioning; (8) global quality of life; (9) delivery of care; (10) perceived health status; (11) personal circumstances; and (12) hospital/hospice use.

conclusionOutcome reporting and measurement varied markedly across the studies. A standardised approach to outcome reporting in studies of prognosis is necessary to enhance data synthesis, improve clinical practice and better align with stakeholders' priorities.

Indexed as

NeoplasmsQuality of LifeCaregiversConsensusHumansOutcome Assessment, Health Careadultcaregiversneoplasmsoutcome assessment (health care)Palliative careprognosissystematic review

Identifiers

PMID37586031
PMCPMC10548779
OpenAlexW4385738631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.