Evidence map›Paper›PMID 22382691›Full record

ArticleBritish journal of cancer2012

Variation in advanced stage at diagnosis of lung and female breast cancer in an English region 2006-2009.

G Lyratzopoulos, G A Abel, J M Barbiere, C H Brown, B A Rous, D C Greenberg

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Article in British journal of cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The Role of Proliferation in Determining Response to Neoadjuvant Chemotherapy in Breast Cancer: A Gene Expression-Based Meta-Analysis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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  16. 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
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

G LyratzopoulosDepartment of Public Health and Primary Care, Cambridge Centre for Health Services Research, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0SR, UK. gl290@medschl.cam.ac.uk
G A Abel
J M Barbiere
C H Brown
B A Rous
D C Greenberg

Funding

Department of Health PDF-2011-04-047
6 · The paper itself

Abstract

backgroundUnderstanding variation in stage at diagnosis can inform interventions to improve the timeliness of diagnosis for patients with different cancers and characteristics.

methodsWe analysed population-based data on 17,836 and 13,286 East of England residents diagnosed with (female) breast and lung cancer during 2006-2009, with stage information on 16,460 (92%) and 10,435 (79%) patients, respectively. Odds ratios (ORs) of advanced stage at diagnosis adjusted for patient and tumour characteristics were derived using logistic regression.

resultsWe present adjusted ORs of diagnosis in stages III/IV compared with diagnosis in stages I/II. For breast cancer, the frequency of advanced stage at diagnosis increased stepwise among old women (ORs: 1.21, 1.46, 1.68 and 1.78 for women aged 70-74, 75-79, 80-84 and ≥85, respectively, compared with those aged 65-69 , P<0.001). In contrast, for lung cancer advanced stage at diagnosis was less frequent in old patients (ORs: 0.82, 0.74, 0.73 and 0.66, P<0.001). Advanced stage at diagnosis was more frequent in more deprived women with breast cancer (OR: 1.23 for most compared with least deprived, P=0.002), and in men with lung cancer (OR: 1.14, P=0.011). The observed patterns were robust to sensitivity analyses approaches for handling missing stage data under different assumptions.

conclusionInterventions to help improve the timeliness of diagnosis of different cancers should be targeted at specific age groups.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsBreast NeoplasmsEarly Detection of CancerEnglandFemaleHumansLogistic ModelsLung NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm Staging

Identifiers

PMID22382691
PMCPMC3304409

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LicenceCC BY-NC-SA
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Registered trials

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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.