Evidence map›Paper›PMID 33704112›Full record

ArticleCurrent oncology (Toronto, Ont.)2020

Research Productivity of Canadian Radiation Oncology Residents: A Time-Trend Analysis.

Adam Mutsaers, Sangyang Jia, Andrew Warner, Timothy K Nguyen, Joanna M Laba, David A Palma

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Adam MutsaersDepartment of Radiation Oncology, London Health Sciences Centre, London, ON N6A 5W9, Canada.
Sangyang JiaSchulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.
Andrew WarnerDepartment of Radiation Oncology, London Health Sciences Centre, London, ON N6A 5W9, Canada.
Timothy K NguyenDepartment of Radiation Oncology, London Health Sciences Centre, London, ON N6A 5W9, Canada.
Joanna M LabaDepartment of Radiation Oncology, London Health Sciences Centre, London, ON N6A 5W9, Canada.
David A PalmaDepartment of Radiation Oncology, London Health Sciences Centre, London, ON N6A 5W9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Research productivity is a mandatory component of Canadian radiation oncology (RO) resident training. To our knowledge, Canadian RO resident research publication productivity has not previously been analysed. (2) Methods: We compiled a 12-year database of RO residents in Canadian training programs who completed residency between June 2005 and June 2016. Resident names and dates of training were abstracted from provincial databases and department websites and were used to abstract data from PubMed, including training program, publication year, journal, type of research, topic and authorship position. Residents were divided into four time periods and the linear trend test evaluated publication rates over time. Univariable and multivariable logistic regression analyses were performed to identify authorship predictors. (3) Results: 227 RO residents representing 363 publications were identified. The majority were first-author publications (56%) and original research (77%). Overall, 82% of first-author, and 80% of any-author articles were published in resident year 4 or higher. Mean number of publications for first-author and any-author positions increased significantly over time (

Indexed as

Internship and ResidencyRadiation OncologyAuthorshipCanadaEfficiencyHumansacademic productivitypublicationsradiation oncologyresident research

Identifiers

PMID33704112
PMCPMC7816183

What OpenQuestion holds

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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.