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Early palliative interventions for improving outcomes in people with a primary malignant brain tumour and their carers

2022· article· en· W4220828215 on OpenAlexaff

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of TorontoKingston Health Sciences Centre
FundersMarie CurieEvidence Synthesis ProgrammeNational Institute for Health and Care Research
KeywordsPalliative carePsychological interventionIntervention (counseling)Primary carePopulationMEDLINE

Abstract

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BACKGROUND: Primary malignant brain tumours can have an unpredictable course, but high-grade gliomas typically have a relentlessly progressive disease trajectory. They can cause profound symptom burden, affecting physical, neurocognitive, and social functioning from an early stage in the illness. This can significantly impact on role function and on the experiences and needs of informal caregivers. Access to specialist palliative and supportive care early in the disease trajectory, for those with high-grade tumours in particular, has the potential to improve patients' and caregivers' quality of life. However, provision of palliative and supportive care for people with primary brain tumours - and their informal caregivers - is historically ill-defined and ad hoc, and the benefits of early palliative interventions have not been confirmed. It is therefore important to define the role and effectiveness of early referral to specialist palliative care services and/or the effectiveness of other interventions focused on palliating disease impact on people and their informal caregivers. This would help guide improvement to service provision, by defining those interventions which are effective across a range of domains, and developing an evidence-based model of integrated supportive and palliative care for this population. OBJECTIVES: To assess the evidence base for early palliative care interventions, including referral to specialist palliative care services compared to usual care, for improving outcomes in adults diagnosed with a primary brain tumour and their carers. SEARCH METHODS: We conducted searches of electronic databases, CENTRAL, MEDLINE, CINAHL, Web of Science, and PsycINFO (last searched 16 November 2021). We conducted searches to incorporate both qualitative and quantitative search terms. In addition to this, we searched for any currently recruiting trials in ClinicalTrials.gov and in the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal, and undertook citation tracking via Scopus. We also handsearched reference lists of potentially eligible systematic review articles to identify any other relevant studies, contacted experts in the field and searched key authors via Web of Science and searched SIGLE (System of Information on Grey Literature in Europe). SELECTION CRITERIA: We included studies looking at early referral to specialist palliative care services - or early targeted palliative interventions by other healthcare professionals - for improving quality of life, symptom control, psychological outcomes, or overall survival as a primary or secondary outcome measure. Studies included randomised controlled trials (RCTs), non-randomised studies (NRS), as well as qualitative and mixed-methods studies where both qualitative and quantitative data were included. Participants were adults with a confirmed radiological and/or histological diagnosis of a primary malignant brain tumour, and/or informal adult carers (either at individual or family level) of people with a primary malignant brain tumour. DATA COLLECTION AND ANALYSIS: We followed standard Cochrane methodological procedures for data extraction, management, and analysis. We used GRADE to assess the certainty of the evidence for symptom control, i.e. cognitive function. MAIN RESULTS: We identified 9748 references from the searches, with 8337 remaining after duplicates were removed. After full-text review, we included one trial. There were no studies of early specialist palliative care interventions or of early, co-ordinated generalist palliative care approaches. The included randomised trial addressed a single symptom area, focusing on early cognitive rehabilitation, administered within two weeks of surgery in a mixed brain tumour population, of whom approximately half had a high-grade glioma. The intervention was administered individually as therapist-led computerised exercises over 16 one-hour sessions, four times/week for four weeks. Sessions addressed several cognitive domains including time orientation, spatial orientation, visual attention, logical reasoning, memory, and executive function. There were no between-group differences in outcome for tests of logical-executive function, but differences were observed in the domains of visual attention and verbal memory. Risk of bias was assessed and stated as high for performance bias and attrition bias but for selective reporting it was unclear whether all outcomes were reported. We considered the certainty of the evidence, as assessed by GRADE, to be very low. AUTHORS' CONCLUSIONS: Currently there is a lack of research focusing on the introduction of early palliative interventions specifically for people with primary brain tumours, either as co-ordinated specialist palliative care approaches or interventions focusing on a specific aspect of palliation. Future research should address the methodological shortcomings described in early palliative intervention studies in other cancers and chronic conditions. In particular, the specific population under investigation, the timing and the setting of the intervention should be clearly described and the standardised palliative care-specific components of the intervention should be defined in detail.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.006
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.037
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.142
GPT teacher head0.408
Teacher spread0.266 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations24
Published2022
Admission routes1
Has abstractyes

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