Evidence map›Paper›PMID 32407577›Full record

ArticleThe British journal of dermatology2021

The effect of a dermato-oncological training programme on the diagnostic skills and quality of referrals for suspicious skin lesions by general practitioners.

E Marra, M C J van Rijsingen, J A C Alkemade, J M M Groenewoud, K F Hueskes, C H M Nij Bijvank, F A van de Laar, S F K Lubeek

Open access · hybridAbstract read
In one paragraph

Article in The British journal of dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Educational Interventions to Support Primary Care Provider Performance of Diagnostic Skin Cancer Examinations: A Systematic Literature Review.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    Pooled it
  2. Defining a theoretical framework for a quality referral at the primary-secondary care interface: a systematic scoping review with qualitative content analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  3. Article
  4. A Primary Care Intervention to Improve Melanoma Detection and Management.Journal of the American Board of Family Medicine : JABFM · 2026
    Article
  5. Review
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  11. A novel deep learning framework for accurate melanoma diagnosis integrating imaging and genomic data for improved patient outcomes.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
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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

8 authors at 2 institutions in 1 country.

E MarraDermatology, Radboud University Medical Centre, Nijmegen, the Netherlands.
M C J van RijsingenDermatology, Radboud University Medical Centre, Nijmegen, the Netherlands.
J A C AlkemadeDepartment of Dermatology, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands.
J M M GroenewoudDepartment of, Health Evidence, Radboud University Medical Centre, Nijmegen, the Netherlands.
K F HueskesRegional Department of the National Association of General Practitioners, Nijmegen, the Netherlands.
C H M Nij BijvankRegional Department of the National Association of General Practitioners, Nijmegen, the Netherlands.
F A van de LaarDepartment of, Primary and Community Care, Radboud University Medical Centre, Nijmegen, the Netherlands.
S F K LubeekDermatology, Radboud University Medical Centre, Nijmegen, the Netherlands.ORCID 0000-0003-2694-6059
Radboud University Nijmegen · NLCanisius-Wilhelmina Ziekenhuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising incidence rates of skin cancer (SC) lead to an enormous burden on healthcare systems. General practitioners (GPs) might play an important part in SC care, but research has shown poor clinical recognition of SC, leading to a high rate of potentially unnecessary referrals.

objectivesThe aim of this study was to evaluate if a dermato-oncological training programme (DOTP) for GPs improved their diagnostic skills and quality of referrals.

methodsOut of 194 GPs in the Nijmegen area, 83 (42·8%) followed a DOTP on SC. Referrals from both a trained cohort (TC) and two cohorts of untrained GPs [untrained present cohort (UPC) and untrained historical cohort (UHC)] were included. Data on diagnostic skills, quality of referrals and the number of potentially unnecessary referrals were evaluated.

resultsA total number of 1662 referrals were analysed. The referral diagnosis was correct more often in the TC (70·3%) compared with the UPC (56·2%; P < 0·001) and the UHC (51·6%; P < 0·001). Furthermore, the TC also provided a better lesion description, mentioned a diagnosis more often in their referral letters and more often performed diagnostics before referral. In addition, fewer potentially unnecessary referrals were identified in the TC compared with the UPC (62·7% vs. 73·7%; P < 0·001) and the UHC (75·2%; P < 0·001).

conclusionsGPs who followed a DOTP had better diagnostic skills and quality of referrals than untrained GPs, leading to fewer potentially unnecessary referrals. This might enhance a more efficient use of the limited capacity in secondary dermatological care and consequently lead to lower healthcare costs.

Indexed as

General PractitionersSkin NeoplasmsHealth Care CostsHumansReferral and ConsultationSecondary Health Care

Identifiers

PMID32407577
PMCPMC7983956
OpenAlexW3025987915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.