Evidence map›Paper›PMID 31564600›Full record

ArticleAmerican journal of preventive medicine2019

Cost Effectiveness of Nutrition Policies on Processed Meat: Implications for Cancer Burden in the U.S.

David D Kim, Parke E Wilde, Dominique S Michaud, Junxiu Liu, Lauren Lizewski, Jennifer Onopa, Dariush Mozaffarian, Fang Fang Zhang, John B Wong

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

David D KimCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts. Electronic address: dkim3@tuftsmedicalcenter.org.
Parke E WildeFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Dominique S MichaudDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts.
Junxiu LiuFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Lauren LizewskiFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Jennifer OnopaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Fang Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
John B WongDivision of Clinical Decision Making, Tufts Medical Center, Boston, Massachusetts.

Funding

Comparative and Cost-Effectiveness of Population Strategies to Improve Diet and Reduce CancerR01MD011501 · NIMHD · TUFTS UNIVERSITY BOSTON · PI ZHANG, FANG FANG · 2016 to 2019
$2.0M
NIMHD NIH HHS R01 MD011501
6 · The paper itself

Abstract

introductionProcessed meats are associated with increased risk of colorectal and stomach cancers, but health and economic impacts of policies to discourage processed meats are not well established. This paper aims to evaluate the cost effectiveness of implementing tax and warning labels on processed meats.

methodsA probabilistic cohort-state transition model was developed in 2018, including lifetime and short-term horizons, healthcare, and societal perspectives, and 3% discount rates for costs and health outcomes. The model simulated 32 subgroups by age, gender, and race/ethnicity from the U.S. adult population and integrated nationally representative 2011-2014 data on processed meat consumption, with etiologic effects of processed meat consumption on cancer incidence, medical and indirect societal costs, and policy costs.

resultsOver a lifetime, the 10% excise tax would prevent 77,000 cases of colorectal cancer (95% uncertainty interval=56,800, 107,000) and 12,500 cases of stomach cancer (95% uncertainty interval=6,880, 23,900), add 593,000 quality-adjusted life years (95% uncertainty interval=419,000, 827,000), and generate net savings of $2.7 billion from a societal perspective, including $1.1 billion healthcare costs saved. The warning label policy would avert 85,400 cases of colorectal cancer (95% uncertainty interval=56,600, 141,000) and 15,000 cases of stomach cancer (95% uncertainty interval=6,860, 34,500), and add 660,000 quality-adjusted life years (95% uncertainty interval=418,000, 1,070,000), with net savings of $4.5 billion from a societal perspective, including $1.3 billion healthcare costs saved. In subgroup analyses, greater health and economic benefits accrued to (1) younger subpopulations, (2) subpopulations with greater cancer risk, and (3) those with higher baseline processed meat consumption.

conclusionsThe model shows that implementing tax or warning labels on processed meats would be a cost-saving strategy with substantial health and economic benefits. The findings should encourage policy makers to consider nutrition-related policies to reduce cancer burden.

Indexed as

Cost-Benefit AnalysisCost of IllnessAdultAgedCohort StudiesFemaleHealth Care CostsHumansIncidenceMaleMeat ProductsMiddle AgedModels, EconomicNeoplasmsNutrition PolicyProbability

Identifiers

PMID31564600
PMCPMC6803059

What OpenQuestion holds

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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.