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Delirium incidence, risk factors, and treatment in older adults receiving chemotherapy: A scoping review.

2019· article· en· W2947991887 on OpenAlexaff
Shabbir M.H. Alibhai, Patrick Jung, Zuhair Alam, Lily Yeung, Uzair Malik, Ali Syed, Carla O. Rosario, Daniel Yokom, Leigha Rowbottom, Ana Patricia Ayala, Roger Reka, Martine Puts

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsDeliriumMedicineCINAHLMEDLINEIncidence (geometry)Psychological interventionData extractionIntensive care medicinePsychiatry

Abstract

fetched live from OpenAlex

e23025 Background: Older adults with cancer are at increased risk of delirium given their advanced age, multiple comorbidities and medications, prevalence of cognitive impairment, and possibly cancer treatment. Awareness of such risks and interventions to prevent or treat delirium is important to clinicians and to provide high quality care. However, there is scant published information on the risks of delirium with chemotherapy or evidence-based approaches to prevent or treat it. We performed a scoping review to summarize the available evidence. Methods: We conducted a scoping review using the framework of Arksey and O’Malley. We systematically searched peer-reviewed journal articles in English, French, and German from Medline, Embase, PsychINFO, CINAHL Plus, and Cochrane Central from inception until January 2017 to identify studies that examined delirium in patients receiving chemotherapy. We also attempted to identify any studies that reported on multivariable delirium risk prediction models and any clinical trials that examined prevention or treatment of delirium. Article titles and abstracts as well as full text articles were reviewed using Covidence software by two or more reviewers independently. Similarly, data extraction was performed by two independent reviewers. Results: A total of 21,678 titles and abstracts were screened, and 1,166 full-text articles were reviewed. Nineteen articles with varying study designs (retrospective administrative databases to clinical trials) reported on delirium using an acceptable diagnostic standard. Sample sizes varied from 15 to over 21,000. No one tumour site or treatment protocol constituted the majority of studies. The incidence of delirium ranged from 0 to 51% (mean 13.5%). The time course of delirium relative to the cycle of chemotherapy was inconsistently reported. No studies reported on risk prediction models for delirium, and no intervention studies to prevent or treat delirium were identified. An additional 109 studies reported on outcomes that could be part of the delirium syndrome but did not meet even our broad inclusion criteria (e.g. cognitive disturbance). Conclusions: Delirium may occur in over 1 in 8 older adults receiving chemotherapy, although there were substantial limitations in reported studies. This scoping review highlights the dearth of knowledge in the area, particularly for risk factors, prevention, and treatment, and emphasizes the need for high-quality studies examining these important outcomes in the oncology setting.

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

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)0.009
metaresearch head score (Gemma)0.047
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 score0.016
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0160.014
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.443
Teacher spread0.390 · 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

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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