SynthesisPloS one2016
A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts?
Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 6 of them syntheses 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
127 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Palliative prognostic scores for survival prediction of cancer patients: a systematic review and meta-analysis.Journal of the National Cancer Institute · 2024Pooled it
- 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.Palliative medicine · 2023Pooled it
- Prognostic evaluation in patients with advanced cancer in the last months of life: ESMO Clinical Practice Guideline.ESMO open · 2023Guideline
- How effective is virtual reality technology in palliative care? A systematic review and meta-analysis.Palliative medicine · 2022Pooled it
- Improving palliative and end-of-life care with machine learning and routine data: a rapid review.HRB open research · 2019Pooled it
- How accurate is the 'Surprise Question' at identifying patients at the end of life? A systematic review and meta-analysis.BMC medicine · 2017Pooled it
- Trial
- Association of Prognostic Estimates With Burdensome Interventions in Nursing Home Residents With Advanced Dementia.JAMA internal medicine · 2018Trial
- Impact of ascites on the prognostic performance of the palliative prognostic index in terminally ill cancer patients: a multicenter secondary analysis of the EASED study.International journal of clinical oncology · 2026Article
- End-of-life prognostic models in advanced cancer: a scoping review of model development, validation, and impact.BMC palliative care · 2026Article
- Artificial intelligence and medical futility.BMC medical informatics and decision making · 2026Review
- Article
- Multimodal Assessment of Biological Age Following Radiation Therapy Among Patients With Early-Stage NSCLC.JAMA network open · 2026Article
- Anticipating, recognising and talking about dying: Can we close the gap?Future healthcare journal · 2026Article
- Communication during out-of-hours primary care contacts for people with a terminal illness: a scoping review.BMJ open · 2026Article
- Development of machine learning-based prognostic models for small cell lung cancer with brain metastases: an analysis of SEER and Chinese populations.Journal of thoracic disease · 2025Article
- Article
- Validation of the prognostic model "oncologiq palliative" for head and neck cancer patients.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Screening and Needs Assessment Tools for Palliative Care in Patients with Cardiovascular Disease: Narrative Review.Current heart failure reports · 2025Review
- Observational
67 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
backgroundPrognostic accuracy in palliative care is valued by patients, carers, and healthcare professionals. Previous reviews suggest clinicians are inaccurate at survival estimates, but have only reported the accuracy of estimates on patients with a cancer diagnosis.
objectivesTo examine the accuracy of clinicians' estimates of survival and to determine if any clinical profession is better at doing so than another. DATA SOURCES: MEDLINE, Embase, CINAHL, and the Cochrane Database of Systematic Reviews and Trials. All databases were searched from the start of the database up to June 2015. Reference lists of eligible articles were also checked. ELIGIBILITY CRITERIA: INCLUSION CRITERIA: patients over 18, palliative population and setting, quantifiable estimate based on real patients, full publication written in English. EXCLUSION CRITERIA: if the estimate was following an intervention, such as surgery, or the patient was artificially ventilated or in intensive care. STUDY APPRAISAL AND SYNTHESIS
methodsA quality assessment was completed with the QUIPS tool. Data on the reported accuracy of estimates and information about the clinicians were extracted. Studies were grouped by type of estimate: categorical (the clinician had a predetermined list of outcomes to choose from), continuous (open-ended estimate), or probabilistic (likelihood of surviving a particular time frame).
results4,642 records were identified; 42 studies fully met the review criteria. Wide variation was shown with categorical estimates (range 23% to 78%) and continuous estimates ranged between an underestimate of 86 days to an overestimate of 93 days. The four papers which used probabilistic estimates tended to show greater accuracy (c-statistics of 0.74-0.78). Information available about the clinicians providing the estimates was limited. Overall, there was no clear "expert" subgroup of clinicians identified. LIMITATIONS: High heterogeneity limited the analyses possible and prevented an overall accuracy being reported. Data were extracted using a standardised tool, by one reviewer, which could have introduced bias. Devising search terms for prognostic studies is challenging. Every attempt was made to devise search terms that were sufficiently sensitive to detect all prognostic studies; however, it remains possible that some studies were not identified.
conclusionStudies of prognostic accuracy in palliative care are heterogeneous, but the evidence suggests that clinicians' predictions are frequently inaccurate. No sub-group of clinicians was consistently shown to be more accurate than any other. IMPLICATIONS OF KEY
findingsFurther research is needed to understand how clinical predictions are formulated and how their accuracy can be improved.
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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.