Evidence map›Paper›PMID 26985150›Full record

ArticleCurrent oncology (Toronto, Ont.)2016

Cost trajectories for cancer patients.

W P Wodchis, E Arthurs, A I Khan, S Gandhi, M MacKinnon, J Sussman

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
15.1field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Associations between clinical pathway concordance, cost, and survival outcomes for stage II colon cancer: a population-based study.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Article
  3. Article
  4. Coordination Models for Cancer Care in Low- and Middle-Income Countries: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Integrated Care Planning for Cancer Patients: A Scoping Review.International journal of integrated care · 2017
    Article
  9. Observational
  10. Article
  11. 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

6 authors at 5 institutions in 1 country.

W P WodchisInstitute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON;; Institute for Clinical Evaluative Sciences, Toronto, ON;; Toronto Rehabilitation Institute, Toronto, ON;
E ArthursCancer Care Ontario, Toronto, ON;
A I KhanInstitute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON;; Cancer Care Ontario, Toronto, ON;
S GandhiInstitute for Clinical Evaluative Sciences, Toronto, ON;
M MacKinnonCancer Care Ontario, Toronto, ON;
J SussmanCancer Care Ontario, Toronto, ON;; Department of Oncology, McMaster University, Hamilton, ON.
Cancer Care Ontario · CAInstitute for Clinical Evaluative Sciences · CAMcMaster University · CAToronto Rehabilitation Institute · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care spending is known to be highly skewed, with a small subset of the population consuming a disproportionate amount of health care resources. Patients with cancer are high-cost users because of high incremental health care costs for treatment and the growing prevalence of cancer. The objectives of the present study included characterizing cancer-patient trajectories by cost, and identifying the patient and health system characteristics associated with high health system costs after cancer treatment.

methodsThis retrospective cohort study identified Ontario adults newly diagnosed with cancer between 1 April 2009 and 30 September 2010. Costs of health care use before, during, and after cancer episodes were used to develop trajectories of care. Descriptive analyses examined differences between the trajectories in terms of clinical and health system characteristics, and a logistic regression approach identified predictors of being a high-cost user after a cancer episode.

resultsTen trajectories were developed based on whether patients were high- or low-cost users before and after their cancer episode. The most common trajectory represented patients who were low-cost in the year before cancer, survived treatment, and continued to be low-cost in the year after cancer (31.4%); stage ii cancer of the male genital system was the most common diagnosis within that trajectory. Regression analyses identified increases in age and in multimorbidity and low continuity of care as the strongest predictors of high-cost status after cancer.

conclusionsFindings highlight an opportunity to proactively identify patients who might transition to high-cost status after cancer treatment and to remediate that transition.

Indexed as

costsMultimorbidityresource intensity

Identifiers

PMID26985150
PMCPMC4780583
OpenAlexW2294964188

What OpenQuestion holds

Textmetadata
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.