Evidence map›Paper›PMID 29175263›Full record

ArticleCancer epidemiology2018

Missing data and chance variation in public reporting of cancer stage at diagnosis: Cross-sectional analysis of population-based data in England.

Matthew E Barclay, Georgios Lyratzopoulos, David C Greenberg, Gary A Abel

Abstract read
In one paragraph

Article in Cancer epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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  11. The problem with composite indicators.BMJ quality & safety · 2019
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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

4 authors.

Matthew E BarclayCambridge Centre for Health Services Research, Department of Public Health and Primary Care, Forvie Site, Robinson Way, Cambridge, CB2 0SR, United Kingdom; National Cancer Registration and Analysis Service, Public Health England, Victoria House, Capital Park, Fulbourn, Cambridge, CB21 5XA, United Kingdom.
Georgios LyratzopoulosCambridge Centre for Health Services Research, Department of Public Health and Primary Care, Forvie Site, Robinson Way, Cambridge, CB2 0SR, United Kingdom; National Cancer Registration and Analysis Service, Public Health England, Victoria House, Capital Park, Fulbourn, Cambridge, CB21 5XA, United Kingdom; Epidemiology of Cancer Healthcare and Outcomes (ECHO) Research Group, Department of Behavioural Science and Health, University College London, WC1E 7HB, United Kingdom. Electronic address: y.lyratzopoulos@ucl.ac.uk.
David C GreenbergCambridge Centre for Health Services Research, Department of Public Health and Primary Care, Forvie Site, Robinson Way, Cambridge, CB2 0SR, United Kingdom; National Cancer Registration and Analysis Service, Public Health England, Victoria House, Capital Park, Fulbourn, Cambridge, CB21 5XA, United Kingdom.
Gary A AbelUniversity of Exeter Medical School (Primary Care), Smeall Building, St Luke's Campus, Exeter, EX1 2LU, United Kingdom.

Funding

Cancer Research UK 18180Cancer Research UK C18081/A18180
6 · The paper itself

Abstract

backgroundThe percentage of cancer patients diagnosed at an early stage is reported publicly for geographically-defined populations corresponding to healthcare commissioning organisations in England, and linked to pay-for-performance targets. Given that stage is incompletely recorded, we investigated the extent to which this indicator reflects underlying organisational differences rather than differences in stage completeness and chance variation.

methodsWe used population-based data on patients diagnosed with one of ten cancer sites in 2013 (bladder, breast, colorectal, endometrial, lung, ovarian, prostate, renal, NHL, and melanoma). We assessed the degree of bias in CCG (Clinical Commissioning Group) indicators introduced by missing-is-late and complete-case specifications compared with an imputed 'gold standard'. We estimated the Spearman-Brown (organisation-level) reliability of the complete-case specification. We assessed probable misclassification rates against current pay-for-performance targets.

resultsUnder the missing-is-late approach, bias in estimated CCG percentage of tumours diagnosed at an early stage ranged from -2 to -30 percentage points, while bias under the complete-case approach ranged from -2 to +7 percentage points. Using an annual reporting period, indicators based on the least biased complete-case approach would have poor reliability, misclassifying 27/209 (13%) CCGs against a pay-for-performance target in current use; only half (53%) of CCGs apparently exceeding the target would be correctly classified in terms of their underlying performance.

conclusionsCurrent public reporting schemes for cancer stage at diagnosis in England should use a complete-case specification (i.e. the number of staged cases forming the denominator) and be based on three-year reporting periods. Early stage indicators for the studied geographies should not be used in pay-for-performance schemes.

Indexed as

Reimbursement, IncentiveCross-Sectional StudiesEnglandFemaleHumansMaleNeoplasmsNeoplasm StagingRegistriesReproducibility of Results

Identifiers

PMID29175263
PMCPMC5786666

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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.