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Record W4210815386 · doi:10.1186/s12904-022-00910-x

Chemotherapy during the last 30 days of life and the role of palliative care referral, a single center experience

2022· article· en· W4210815386 on OpenAlex
Indryas Woldie, Tarek Elfiki, Swati Kulkarni, Colvin Springer, Eric McArthur, Nicole Freeman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Palliative Care · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsLondon Health Sciences CentreWindsor Clinical ResearchWindsor Regional Hospital
Fundersnot available
KeywordsMedicineChemotherapyPalliative careReferralCancerLung cancerInternal medicineQuality of life (healthcare)OncologyIntensive care medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

Abstract Background Chemotherapy use closer to the end of life is a marker of poor-quality care. There are now multiple studies and local reviews addressing this issue. Understanding the practice locally will give valuable insight and opportunity for improvement. Methods The study is a retrospective chart review of patients on chemotherapy at the Windsor Regional Cancer Center who died between April 1 st , 2016 to December 31 st , 2018. Information on demographics, type of cancer, type, intent and route of chemotherapy, line of chemotherapy, referral to hospice and palliative care services was collected. Results A total of 681 patients on chemotherapy died between April 1 st , 2016 to Dec 13 th , 2018. Of these, 119 (17.4 %) died within 30 days following chemotherapy. Chemotherapy was parenteral (Intravenous and Subcutaneous) for the majority (75.2%) of the patients. Most (66.4%) of the patients died of disease progression. Intent for chemotherapy was palliative in 85% of patients, adjuvant/neoadjuvant in 6.6% and curative in 8.4% of the patients. Chemotherapy was 1 st , 2 nd , 3 rd line or more in 67.4%, 21.3% and 11.3% of the patients respectively. The type of chemotherapy was conventional in 74.3% of patients and targeted/immunotherapy in 25.7% of patients. Of the variables studied, lack of palliative referral and having lung cancer or melanoma were significantly associated with higher risk of getting chemotherapy within the last 30 days of life. The odds of getting chemotherapy within the last 30 days of life was 0.35, 95% CI (0.24-0.53), P <0.001 for those who were referred to palliative care. On the other hand, the odds of getting chemotherapy were 4.18, 95% CI (1.17-13.71), P = 0.037 and 2.21, 95% CI (1.24-4.01), P = 0.037 for those with melanoma and lung cancer respectively. In addition, those with early referral to palliative care (90 days or more prior to death) were least likely to receive chemotherapy within the last 30 days of life. Conclusion Administration of chemotherapy within the last 30 days of life could cause unnecessary suffering to patients and cost to society. Early referral to palliative care was significantly associated with reduced risk of getting chemotherapy within the last 30 days of life in this study. Prospective study is recommended to further investigate the role of early palliative referral on use of chemotherapy during the last 30 days of life.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.362
Teacher spread0.276 · 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