Evidence map›Paper›PMID 33380874›Full record

ArticleCurrent oncology (Toronto, Ont.)2020

Primary care use after cancer treatment: an analysis of linked administrative data.

R Urquhart, L Lethbridge

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

R UrquhartDepartment of Community Health and Epidemiology, Dalhousie University, Halifax, NS.
L LethbridgeDepartment of Community Health and Epidemiology, Dalhousie University, Halifax, NS.
Dalhousie University · CANova Scotia Health Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary care-led follow-up is a safe and acceptable alternative to oncologist-led follow-up. We sought to investigate patterns of primary care use during cancer follow-up care. Methods: We identified all persons in Nova Scotia, diagnosed with an invasive breast, prostate, colorectal, or gynecologic cancer between January 2006 and December 2013. We linked this dataset to cancer centre, hospital discharge abstracts, physicians' billing, and census data. We identified a survivor cohort ( Results: The mean numbers of pcp visits (all reasons) and cancer-specific pcp visits per year for survivors who did not receive cancer centre follow-up (cc-fup) were 8.12 and 0.43 visits, respectively, and for survivors who continued to receive cc-fup were 8.75 and 0.63 visits, respectively. Age, cancer type, stage at diagnosis, comorbidity scores, year of diagnosis, and receipt of cc-fup were associated with both outcomes. Compared with prostate cancer survivors, breast, colorectal, and gynecologic cancer survivors had, respectively, 56%, 69%, and 56% fewer expected cancer-specific PCP visits. Receipt of cc-fup increased the expected number of pcp visits (all reasons) by 12% and cancer-specific pcp visits by 50%. Conclusions: Primary care use was higher in survivors who continued to visit their oncology teams for follow-up. This suggests that survivors who remain with their oncology teams after treatment continue to have high needs not met by these teams alone.

Indexed as

Cancer SurvivorsPrimary Health CareFemaleHumansMaleMedical OncologyNeoplasm Recurrence, LocalSurvivorsadministrative health datafollow-up careSurvivorship

Identifiers

PMID33380874
PMCPMC7755450
OpenAlexW3116756279

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.