Evidence map›Paper›PMID 24567622›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2014

Quality deviations in cancer diagnosis: prevalence and time to diagnosis in general practice.

Henry Jensen, Aase Nissen, Peter Vedsted

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Patient and primary care delays in the diagnostic pathway of gynaecological cancers: a systematic review of influencing factors.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Pooled it
  2. Patient involvement in diagnosing cancer in primary care: a systematic review of current interventions.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Women's experiences along the ovarian cancer diagnostic pathway in Catalonia: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  10. Article
  11. Luminescent bis(benzo[RSC advances · 2019
    Article
  12. Responsibility for follow-up during the diagnostic process in primary care: a secondary analysis of International Cancer Benchmarking Partnership data.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Article
  13. Associations between diagnostic activity and measures of patient experience in primary care: a cross-sectional ecological study of English general practices.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Article
  14. Article
  15. Patients with cancer and change of general practice: a Danish population-based cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016
    Article
  16. Review
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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

3 authors at 2 institutions in 1 country.

Henry JensenResearch Unit for General Practice, Research Centre for Cancer Diagnosis in Primary Care, Health, Aarhus University, Aarhus, Denmark.
Aase Nissen
Peter Vedsted
Aarhus University · DKDanish Cancer Society · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh quality in every phase of cancer diagnosis is important to optimise the prognosis for the patient. General practice plays an important role in this phase.

aimThe aim was to describe the prevalence and the types of quality deviations (QDs) that arise during the diagnostic pathway in general practice as assessed by GPs and to analyse the association between these QDs, the cancer type, and the GP's interpretation of presenting symptoms as well as the influence on the diagnostic interval. DESIGN AND

settingA Danish retrospective cohort study based on questionnaire data from 1466 GPs on 5711 incident patients with cancer identified in the Danish National Patient Registry (response rate = 71.4%). The GP was involved in diagnosing in 4036 cases.

methodPredefined QDs were prompted with the possibility for free text. QD prevalence was estimated as was the association between QDs and diagnosis, the GP's symptom interpretation, and time to diagnosis.

resultsQDs were present for 30.4% (95% confidence interval [CI] = 29.0 to 31.9) of cancer patients. The most prevalent QD was 'retrospectively, one or more of my clinical decisions were less optimal'. QDs were most prevalent among patients with vague symptoms (24.1% for alarm symptoms versus 39.5% for vague symptoms [P<0.001]). QD presence implied a 41-day (95% CI = 38.4 to 43.6) longer median diagnostic interval.

conclusionGPs noted at least one QD, which often involved clinical decisions, for one-third of all cancer patients. QDs were more likely among patients with vague symptoms and increased the diagnostic interval considerably.

Indexed as

General PracticeCohort StudiesData CollectionData Interpretation, StatisticalDelayed DiagnosisDenmarkEarly Detection of CancerFemaleHumansMaleNeoplasmsPractice Patterns, Physicians'PrevalencePrognosisQuality ImprovementQuality of Health Caredelayed diagnosisgeneral practicehealthcareneoplasmsquality assessment, risk management

Identifiers

PMID24567622
PMCPMC3905405
OpenAlexW2125321420

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.