Evidence map›Paper›PMID 31704137›Full record

ArticleThe Lancet. Oncology2020

Presenting symptoms of cancer and stage at diagnosis: evidence from a cross-sectional, population-based study.

Minjoung Monica Koo, Ruth Swann, Sean McPhail, Gary A Abel, Lucy Elliss-Brookes, Greg P Rubin, Georgios Lyratzopoulos

Open access · hybridAbstract read
In one paragraph

Article in The Lancet. Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 6 pooled it
9.1field-weighted citation impact, top 1% 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

125 citing papers in PubMed, 6 syntheses or guidelines pooled it, 242 citations in OpenAlex.

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  3. Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Minjoung Monica KooUniversity College London, London, UK; National Cancer Registration and Analysis Service, Public Health England, London, UK. Electronic address: monica.koo@ucl.ac.uk.
Ruth SwannNational Cancer Registration and Analysis Service, Public Health England, London, UK; Cancer Research UK, London, UK.
Sean McPhailUniversity College London, London, UK; National Cancer Registration and Analysis Service, Public Health England, London, UK.
Gary A AbelUniversity of Exeter Medical School, St Luke's Campus, Exeter, UK.
Lucy Elliss-BrookesNational Cancer Registration and Analysis Service, Public Health England, London, UK.
Greg P RubinInstitute of Health and Society, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Georgios LyratzopoulosUniversity College London, London, UK; National Cancer Registration and Analysis Service, Public Health England, London, UK.
National Cancer Registration Service · GBNewcastle University · GBUniversity of Exeter · GB

Funding

Cancer Research UK 18180Cancer Research UK C18081/A18180Cancer Research UK C8640/A23385Department of Health 106/0001
6 · The paper itself

Abstract

backgroundEarly diagnosis interventions such as symptom awareness campaigns increasingly form part of global cancer control strategies. However, these strategies will have little impact in improving cancer outcomes if the targeted symptoms represent advanced stage of disease. Therefore, we aimed to examine associations between common presenting symptoms of cancer and stage at diagnosis.

methodsIn this cross-sectional study, we analysed population-level data from the English National Cancer Diagnosis Audit 2014 for patients aged 25 years and older with one of 12 types of solid tumours (bladder, breast, colon, endometrial, laryngeal, lung, melanoma, oral or oropharyngeal, ovarian, prostate, rectal, and renal cancer). We considered 20 common presenting symptoms and examined their associations with stage at diagnosis (TNM stage IV vs stage I-III) using logistic regression. For each symptom, we estimated these associations when reported as a single presenting symptom and when reported together with other symptoms.

findingsWe analysed data for 7997 patients. The proportion of patients diagnosed with stage IV cancer varied substantially by presenting symptom, from 1% (95% CI 1-3; eight of 584 patients) for abnormal mole to 80% (71-87; 84 of 105 patients) for neck lump. Three of the examined symptoms (neck lump, chest pain, and back pain) were consistently associated with increased odds of stage IV cancer, whether reported alone or with other symptoms, whereas the opposite was true for abnormal mole, breast lump, postmenopausal bleeding, and rectal bleeding. For 13 of the 20 symptoms (abnormal mole, breast lump, post-menopausal bleeding, rectal bleeding, lower urinary tract symptoms, haematuria, change in bowel habit, hoarseness, fatigue, abdominal pain, lower abdominal pain, weight loss, and the "any other symptom" category), more than 50% of patients were diagnosed at stages other than stage IV; for 19 of the 20 studied symptoms (all except for neck lump), more than a third of patients were diagnosed at stages other than stage IV.

interpretationDespite specific presenting symptoms being more strongly associated with advanced stage at diagnosis than others, for most symptoms, large proportions of patients are diagnosed at stages other than stage IV. These findings provide support for early diagnosis interventions targeting common cancer symptoms, countering concerns that they might be simply expediting the detection of advanced stage disease.

fundingUK Department of Health's Policy Research Unit in Cancer Awareness, Screening and Early Diagnosis; and Cancer Research UK.

Indexed as

Health Knowledge, Attitudes, PracticeSeverity of Illness IndexAdultAgedAged, 80 and overCross-Sectional StudiesEarly Detection of CancerFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasmsNeoplasm StagingSurveys and Questionnaires

Identifiers

PMID31704137
PMCPMC6941215
OpenAlexW2983981789

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.