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Are alarm symptoms predictive of cancer survival?: Population-based cohort study

BACKGROUND: Alarm symptom presentations are predictive of cancer diagnosis but may also be associated with cancer survival. AIM: To evaluate diagnostic time intervals, and consultation patterns after presentation with alarm symptoms, and their association with cancer diagnosis and survival. DESIGN A...

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Autores principales: Dregan, Alex, Møller, Henrik, Charlton, Judith, Gulliford, Martin C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839389/
https://www.ncbi.nlm.nih.gov/pubmed/24351496
http://dx.doi.org/10.3399/bjgp13X675197
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author Dregan, Alex
Møller, Henrik
Charlton, Judith
Gulliford, Martin C
author_facet Dregan, Alex
Møller, Henrik
Charlton, Judith
Gulliford, Martin C
author_sort Dregan, Alex
collection PubMed
description BACKGROUND: Alarm symptom presentations are predictive of cancer diagnosis but may also be associated with cancer survival. AIM: To evaluate diagnostic time intervals, and consultation patterns after presentation with alarm symptoms, and their association with cancer diagnosis and survival. DESIGN AND SETTING: Cohort study using the Clinical Practice Research Database, with linked Cancer Registry data, in 158 general practices. METHOD: Participants included those with haematuria, haemoptysis, dysphagia, and rectal bleeding or urinary tract cancer, lung cancer, gastro-oesophageal cancer, and colorectal cancer. RESULTS: The median (interquartile range) interval in days from first symptom presentation to the corresponding cancer diagnosis was: haematuria and urinary tract cancer, 59 (28–109); haemoptysis and lung cancer, 35 (18–89); dysphagia and gastro-oesophageal cancer, 25 (12–48); rectal bleeding and colorectal cancer, 49 (20–157). Three or more alarm symptom consultations were associated with increased odds of diagnosis of urinary tract cancer (odds ratio [OR] 1.84, 95% CI = 1.50 to 2.27), lung cancer (OR = 1.76, 95% CI = 1.07 to 2.90) and gastro-oesophageal cancer (OR = 2.17, 95% CI = 1.48 to 3.19). Longer diagnostic intervals were associated with increased mortality only for urinary tract cancer (hazard ratio 2.23, 95% CI = 1.35 to 3.69). Patients with no preceding alarm symptom had shorter survival from diagnosis of urinary tract, lung or colorectal cancer than those presenting with a relevant alarm symptom. CONCLUSION: After alarm symptom presentation, repeat consultations are associated with cancer diagnoses. Longer diagnostic intervals appeared to be associated with a worse prognosis for urinary tract cancer only. Mortality is higher when cancer is diagnosed in the absence of alarm symptoms.
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spelling pubmed-38393892014-12-01 Are alarm symptoms predictive of cancer survival?: Population-based cohort study Dregan, Alex Møller, Henrik Charlton, Judith Gulliford, Martin C Br J Gen Pract Research BACKGROUND: Alarm symptom presentations are predictive of cancer diagnosis but may also be associated with cancer survival. AIM: To evaluate diagnostic time intervals, and consultation patterns after presentation with alarm symptoms, and their association with cancer diagnosis and survival. DESIGN AND SETTING: Cohort study using the Clinical Practice Research Database, with linked Cancer Registry data, in 158 general practices. METHOD: Participants included those with haematuria, haemoptysis, dysphagia, and rectal bleeding or urinary tract cancer, lung cancer, gastro-oesophageal cancer, and colorectal cancer. RESULTS: The median (interquartile range) interval in days from first symptom presentation to the corresponding cancer diagnosis was: haematuria and urinary tract cancer, 59 (28–109); haemoptysis and lung cancer, 35 (18–89); dysphagia and gastro-oesophageal cancer, 25 (12–48); rectal bleeding and colorectal cancer, 49 (20–157). Three or more alarm symptom consultations were associated with increased odds of diagnosis of urinary tract cancer (odds ratio [OR] 1.84, 95% CI = 1.50 to 2.27), lung cancer (OR = 1.76, 95% CI = 1.07 to 2.90) and gastro-oesophageal cancer (OR = 2.17, 95% CI = 1.48 to 3.19). Longer diagnostic intervals were associated with increased mortality only for urinary tract cancer (hazard ratio 2.23, 95% CI = 1.35 to 3.69). Patients with no preceding alarm symptom had shorter survival from diagnosis of urinary tract, lung or colorectal cancer than those presenting with a relevant alarm symptom. CONCLUSION: After alarm symptom presentation, repeat consultations are associated with cancer diagnoses. Longer diagnostic intervals appeared to be associated with a worse prognosis for urinary tract cancer only. Mortality is higher when cancer is diagnosed in the absence of alarm symptoms. Royal College of General Practitioners 2013-12 2013-11-06 /pmc/articles/PMC3839389/ /pubmed/24351496 http://dx.doi.org/10.3399/bjgp13X675197 Text en © British Journal of General Practice 2013 http://creativecommons.org/licenses/by/3.0/ This is an OpenAccess article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Dregan, Alex
Møller, Henrik
Charlton, Judith
Gulliford, Martin C
Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title_full Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title_fullStr Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title_full_unstemmed Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title_short Are alarm symptoms predictive of cancer survival?: Population-based cohort study
title_sort are alarm symptoms predictive of cancer survival?: population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839389/
https://www.ncbi.nlm.nih.gov/pubmed/24351496
http://dx.doi.org/10.3399/bjgp13X675197
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