ArticleCurrent oncology (Toronto, Ont.)2015
Access to oncology consultation in a cancer cohort in northeastern Ontario.
Article in Current oncology (Toronto, Ont.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Choreographed expansion of services results in decreased patient burden without compromise of outcomes: An assessment of the Ontario experience.Neuro-oncology practice · 2024Article
- Variation in Access to Palliative Radiotherapy in Prostate Cancer: A Population-Based Study in Canada.Cureus · 2024Article
- Access to cancer care in northwestern Ontario-a population-based study using administrative data.Current oncology (Toronto, Ont.) · 2020Article
- Access to Palliative Care for Cancer Patients Living in a Northern and Rural Environment in Ontario, Canada: The Effects of Geographic Region and Rurality on End-of-Life Care in a Population-Based Decedent Cancer Cohort.Clinical Medicine Insights. Oncology · 2019Article
- A Comparison Between the Rates of Radiation Oncologist and Urologist Consultations in Men Diagnosed With Prostate Cancer in Northern Ontario, Canada.Advances in radiation oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo enhance cancer symptom management for residents of Sudbury-Manitoulin District, an ambulatory palliative clinic (pac) was established at the Northeast Cancer Centre of Health Sciences North. The pac is accessed from a medical or radiation oncology consultation. The primary purpose of the present population-based retrospective study was to estimate the percentage of cancer patients who died without ever having a medical or radiation oncology consultation. A secondary purpose was to determine factors associated with never having received one of those specialized consultations.
methodsAdministrative data was obtained through the Ontario Cancer Data Linkage Project. For each index case, we constructed a timeline, in days, of all Ontario Health Insurance Plan billing codes and associated service dates starting with the primary cancer diagnosis and ending with death.
resultsWithin the 5-year study period (2004-2008), 6683 people in the area of interest with a valid record of primary cancer diagnosis died from any cause. Most (n = 5988, 89.6%) had 1 primary cancer diagnosis. For that subgroup, excluding those with a disease duration of 0 days (n = 67), about 18.4% (n = 1088) never had a consultation with a medical or radiation oncologist throughout their disease trajectory. Patients who were older or who resided in a rural area were significantly less likely to have had a consultation.
conclusionsSpecific strategies directed toward older and rural patients might help to address this important access-to-care issue.
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What OpenQuestion holds
Registered trials
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.