Evidence map›Paper›PMID 33639658›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

How Well Have Projected Lung Cancer Rates Predicted the Actual Observed Rates?

Qingwei Luo, Julia Steinberg, Xue Qin Yu, Michael Caruana, Karen Canfell, Dianne L O’Connell

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

6 authors.

Qingwei LuoCancer Research Division, Cancer Council NSW, Sydney, Australia.ORCID 0000-0002-8902-6869
Julia SteinbergCancer Research Division, Cancer Council NSW, Sydney, Australia.
Xue Qin YuCancer Research Division, Cancer Council NSW, Sydney, Australia.
Michael CaruanaCancer Research Division, Cancer Council NSW, Sydney, Australia.
Karen CanfellCancer Research Division, Cancer Council NSW, Sydney, Australia.
Dianne L O’ConnellCancer Research Division, Cancer Council NSW, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile many past studies have constructed projections of future lung cancer rates, little is known about their consistency with the corresponding observed data for the time period covered by the projections. The aim of this study was to assess the agreement between previously published lung cancer incidence and/or mortality rate projections and observed rates.

methodsPublished studies were included in the current study if they projected future lung cancer rates for at least 10 years beyond the period for which rates were used to obtain the projections, and if more recent observed rates for comparison covered a minimum of 10 years from the beginning of the projection period. Projected lung cancer incidence and/or mortality rates from these included studies were extracted from the publications. Observed rates were obtained from cancer registries or the World Health Organization's Mortality Database. Agreement between projected and observed rates was assessed and the relative difference (RD) for each projected rate was calculated as the percentage difference between the projected and observed rates.

resultsA total of 59 projections reported in 14 studies were included. Nine studies provided projections for 20 years or more. RDs were higher for those projections in which the lung cancer rates peaked during the projection period, and RDs increased substantially with the length of the projection period. When lung cancer rates peaked during the projection period, methods incorporating smoking data were generally more successful at predicting the trend reversal than those which did not incorporate smoking data. Mean RDs for 15-year projections comparing methods with or without smoking data were 12.7% versus 48.0% for males and 8.2% versus 42.3% for females.

conclusionsThe agreement between projected and observed lung cancer rates is dependent on the trends in the observed rates and characteristics of the population, particularly trends in smoking.

Indexed as

AdultAgedAge DistributionFemaleGlobal HealthHumansIncidenceLung NeoplasmsMaleMiddle AgedModels, StatisticalPredictive Value of TestsRegistriesSex DistributionSurvival Rateage-period-cohort modelgeneralized linear modelincidence ratesmortality ratesstatistical projections

Identifiers

PMID33639658
PMCPMC8190367

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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.