Evidence map›Paper›PMID 36547131›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Quality of End-of-Life Care in Gastrointestinal Cancers: A 13-Year Population-Based Retrospective Analysis in Ontario, Canada.

Caitlin Sr Lees, Hsien Seow, Kelvin Kw Chan, Anastasia Gayowsky, Aynharan Sinnarajah

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

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 at 5 institutions in 1 country.

Caitlin Sr LeesDivision of Palliative Medicine, Dalhousie University, Halifax, NS B3H 2Y9, Canada.ORCID 0000-0001-9766-4396
Hsien SeowDepartment of Oncology, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0001-6701-1714
Kelvin Kw ChanOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada.
Anastasia GayowskyInstitute for Clinical Evaluative Sciences, Master University, Hamilton, ON L8S 4L8, Canada.
Aynharan SinnarajahDivision of Palliative Medicine, Queen's University, Kingston, ON L1G 2B9, Canada.ORCID 0000-0002-7967-159X
Dalhousie University · CAInstitute for Clinical Evaluative Sciences · CAMcMaster University · CAQueen's University · CASunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-based quality indicators of either aggressive or supportive care at end of life (EOL), especially when specific to a cancer type, help to inform quality improvement efforts. This is a population-based, retrospective cohort study of gastrointestinal (GI) cancer decedents in Ontario from 1 January 2006-31 December 2018, using administrative data. Quality indices included hospitalizations, emergency department (ED) use, intensive care unit admissions, receipt of chemotherapy, physician house call, and palliative home care in the last 14-30 days of life. Previously defined aggregate measures of both aggressive and supportive care at end of life were also used. In our population of 69,983 patients who died of a GI malignancy during the study period, the odds of experiencing aggressive care at EOL remained stable, while the odds of experiencing supportive care at EOL increased. Most of our population received palliative care in the last year of life (

Indexed as

Gastrointestinal NeoplasmsTerminal CareDeathHumansOntarioRetrospective Studiesaggressive careend of lifegastrointestinal cancerhospital deathpalliative carequality indicators

Identifiers

PMID36547131
PMCPMC9777494
OpenAlexW4309857895

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.