Evidence map›Paper›PMID 19124775›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Forecasting United States mortality using cohort smoking histories.

Haidong Wang, Samuel H Preston

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
29.6field-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

36 citing papers in PubMed, 111 citations in OpenAlex.

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  8. What's my age again? Age categories as interactive kinds.History and philosophy of the life sciences · 2021
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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

2 authors at 2 institutions in 1 country.

Haidong WangInstitute for Health Metrics and Evaluation, University of Washington, Seattle, 2301 5th Avenue, Seattle, WA 98121, USA.
Samuel H Preston
Institute for Health Metrics and Evaluation · USUniversity of Pennsylvania · US

Funding

Improving Mortality Projections By Incorporating Cohort Smoking HistoriesR03AG031310 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PRESTON, SAMUEL H · 2007 to 2008
$140k
NIA NIH HHS 1-R03-AG-031310NIA NIH HHS R03 AG031310
6 · The paper itself

Abstract

In this paper, we introduce a recently established relationship between cohort smoking patterns and adult mortality into mortality projections for the United States. In particular, we incorporate a variable representing the intensity of smoking within a cohort into the original Lee-Carter projection model. The introduction of this variable accounts for important anomalies in the recent age/sex pattern of mortality change and enables the use of a common temporal trend of mortality change for the 2 sexes. We project age-specific mortality rates for men and women at ages 50-84 between 2004 and 2034 in the United States. Because of reductions in smoking that have already occurred or can be reliably projected, mortality is projected to decline much faster when smoking is introduced into the model.

Indexed as

AgedAged, 80 and overAge FactorsCohort StudiesFemaleForecastingHumansMaleMiddle AgedModels, StatisticalMortalitySex FactorsSmokingUnited States

Identifiers

PMID19124775
PMCPMC2613940
OpenAlexW2113992038

What OpenQuestion holds

Textmetadata
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.