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Impact of palliative care on the management and outcomes of elderly pancreatic cancer patients following admissions for acute pulmonary embolism.

2025· article· en· W4410817496 on OpenAlexaff
Dhruvkumar Gadhiya, Neha Singla, Harish Kalra, Balkiranjit Kaur Dhillon, Hemamalini Sakthivel, Rahul Singla, Kamleshun Ramphul, Suma Sri Chennapragada

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsBrampton Civic Hospital
Fundersnot available
KeywordsMedicinePulmonary embolismPalliative careIntensive care medicinePancreatic cancerCancerInternal medicineNursing

Abstract

fetched live from OpenAlex

e16397 Background: Palliative care (PalC) has improved the quality of life of cancer patients by focusing on holistic support, pain management, and emotional and physical well-being. Pancreatic cancers(PC) are well known to cause thromboembolic complications such as acute pulmonary embolism(APE) due to their hypercoagulable state. We aim to understand the role of PalC in therapy and the outcomes of PC patients with APE in the United States. Methods: We analyzed data from the National Inpatient Sample (NIS) for PC patients aged ≥60 who were admitted with a primary diagnosis of APE, excluding those with a coexisting diagnosis of COVID-19. We identified patients who received PalC and compared their demographics and outcomes with those who did not receive PalC. Results: Our sample contained 10280 cases of PC with APE. There were 2050(19.9%) cases who were on PalC and constituted an older group (mean age 73.24 vs. 71.53 years, p < 0.01). The overall presence of PalC grew from 16.7% in 2016 to 23.6% in 2022(ptrend < 0.01). Around 67.1% of the PalC group had a do-not-resuscitate(DNR) order(vs. 21.0% in the non-PalC group). Both groups had a comparative prevalence of a history of pulmonary embolism (4.9% among PalC patients vs. 4.6% among non-PalC patients, p = 0.617). Around 51.4% of the non-PalC and 51.7% of the PalC group were females(p = 0.802). An estimated 83.7% of the PalC group had metastasis of their cancer, while it involved only 68.4% in the non-PalC group (p < 0.01). The PalC patients had higher odds of undergoing percutaneous mechanical thrombectomy(aOR 1.559, 95% CI 1.062-2.288, p = 0.023), but no differences were seen for the use of catheter-based thrombolysis(aOR 0.837, 95% CI 0.508-1.379, p = 0.485), or inferior vena cava (IVC) filter placement(aOR 0.984, 95% CI 0.826-1.171, p = 0.852). PalC was associated with higher mortality (aOR 4.951, 95% CI 4.218-5.812, p < 0.01). They also stayed longer for care with a mean length of stay of 6.33 days (vs. 4.49, p < 0.01) at a higher hospital charge($67980 vs. $51197, p < 0.01). Conclusions: This study highlights an increasing trend in the use of PalC for elderly PC patients with APE. PalC patients were older, had more advanced diseases, and had higher mortality rates. While they were more likely to undergo percutaneous mechanical thrombectomy, other interventions had no significant differences. The extended stay and higher costs associated with PalC reveal the need for further research to improve outcomes in this vulnerable population, focusing on improved quality of life while reducing healthcare costs.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.200
GPT teacher head0.580
Teacher spread0.380 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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