Evidence map›Paper›PMID 22027084›Full record

ArticleBMC health services research2011

Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients.

Rikke P Hansen, Peter Vedsted, Ineta Sokolowski, Jens Søndergaard, Frede Olesen

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 2 pooled it
6.8field-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

114 citing papers in PubMed, 2 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. Pooled it
  2. 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
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  10. Exploring Clinical Pathways to a Metastatic Lung Cancer Diagnosis: A Latent Class Analysis Using North Carolina Multipayer Claims Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  13. Time from diagnosis to treatment: Are cancer patients who travel for treatment receiving optimal care in Australia?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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54 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Rikke P HansenResearch Unit and Department of General Practice, Aarhus University, Bartholins Allé 2, DK-8000 Aarhus C, Denmark. rph@alm.au.dk
Peter Vedsted
Ineta Sokolowski
Jens Søndergaard
Frede Olesen
Aarhus University · DKDanish Cancer Society · DKNovo Nordisk Foundation · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelay in diagnosis of cancer may worsen prognosis. The aim of this study is to explore patient-, general practitioner (GP)- and system-related delay in the interval from first cancer symptom to diagnosis and treatment, and to analyse the extent to which delays differ by cancer type.

methodsPopulation-based cohort study conducted in 2004-05 in the County of Aarhus, Denmark (640,000 inhabitants). Data were collected from administrative registries and questionnaires completed by GPs on 2,212 cancer patients newly diagnosed during a 1-year period. Median delay (in days) with interquartile interval (IQI) was the main outcome measure.

resultsMedian total delay was 98 days (IQI 57-168). Most of the total delay stemmed from patient (median 21 days (7-56)) and system delay (median 55 days (32-93)). Median GP delay was 0 (0-2) days. Total delay was shortest among patients with ovarian (median 60 days (45-112)) and breast cancer (median 65 days (39-106)) and longest among patients with prostate (median 130 days (89-254)) and bladder cancer (median 134 days (93-181)).

conclusionSystem delay accounted for a substantial part of the total delay experienced by cancer patients. This points to a need for shortening clinical pathways if possible. A long patient delay calls for research into patient awareness of cancer. For all delay components, special focus should be given to the 4th quartile of patients with the longest time intervals and we need research into the quality of the diagnostic work-up process. We found large variations in delay for different types of cancer. Improvements should therefore target both the population at large and the specific needs associated with individual cancer types and their symptoms.

Indexed as

Outcome Assessment, Health CareCohort StudiesDelayed DiagnosisDenmarkFemaleGeneral PracticeHealth Services ResearchHumansMaleNeoplasmsRegistriesSurveys and QuestionnairesTime Factors

Identifiers

PMID22027084
PMCPMC3217887
OpenAlexW1973385944

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.