Evidence map›Paper›PMID 39582230›Full record

ArticleActa oncologica (Stockholm, Sweden)2024

Aggressive end-of-life care in patients with gastrointestinal cancers - a nationwide study from Denmark.

Stine Gerhardt, Kirstine Skov Benthien, Suzanne Herling, Marie Villumsen, Peter-Martin Karup

Abstract read
In one paragraph

Article in Acta oncologica (Stockholm, Sweden), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stine GerhardtDigestive Disease Center, Copenhagen University Hospital - Bispebjerg, Denmark, Copenhagen, Denmark. stine.gerhardt.hangstrup@regionh.dk.ORCID 0000-0002-0788-4019
Kirstine Skov BenthienPalliative Care Unit, Copenhagen University Hospital - Hvidovre, Denmark; REHPA - Danish Knowledge Centre for Rehabilitation and Palliative Care, Nyborg, University of Southern Denmark.ORCID 0000-0002-1487-8370
Suzanne HerlingThe Neuroscience Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Denmark.ORCID 0000-0002-4109-239X
Marie VillumsenCentre for Clinical Research and Prevention, Copenhagen University Hospital - Frederiksberg, Copenhagen, Denmark.ORCID 0000-0001-8454-4686
Peter-Martin KarupDigestive Disease Center, Copenhagen University Hospital - Bispebjerg, Denmark, Copenhagen, Denmark.ORCID 0000-0003-1319-1451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of determinants of aggressive end-of-life care is crucial to organizing effective palliative care for patients with gastrointestinal (GI) cancer. PURPOSE: This study aims to investigate the determinants of aggressive end-of-life care in patients with GI cancer.

methodsA national register-based cohort study using data from the Danish Register on Causes of Death, the Danish National Patient Register, and the Danish Palliative Database was the method of study employed. PARTICIPANTS/

settingAll Danish patients who died from GI cancers from 2010 to 2020 comprised the study setting.

resultsThere were 43,969 patients with GI cancers in the cohort, of whom 62% were hospitalized in the last 30 days of life, 41% of patients died in the hospital, 10% had surgery, 39% were subjected to a radiological examination during the last 30 days of life and 3% had antineoplastic treatment during the last 14 days of life. Among all types of GI cancers, pancreatic cancer was significantly associated with all outcomes of aggressive end-of-life care except surgery. Patients in specialized palliative care (SPC) had lower odds of receiving aggressive end-of-life care and dying in the hospital. We found that patients with comorbidity and those who were divorced had higher odds of being hospitalized at the end of life and dying in the hospital.

interpretationAggressive end-of-life care is associated with disease factors and socio-demographics. The potential to reduce aggressive end-of-life care is considerable in patients with GI cancer, as demonstrated by the impact of SPC. However, we need to address the needs of patients with GI cancer who do not receive SPC.

Indexed as

Gastrointestinal NeoplasmsPalliative CareRegistriesTerminal CareAdultAgedAged, 80 and overCohort StudiesDenmarkFemaleHospitalizationHumansMaleMiddle Aged

Identifiers

PMID39582230
PMCPMC11609878

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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.