Evidence map›Paper›PMID 33904914›Full record

ArticleJAMA network open2021

Cost-effectiveness Analysis of Nutrition Facts Added-Sugar Labeling and Obesity-Associated Cancer Rates in the US.

Mengxi Du, Christina F Griecci, Frederick F Cudhea, Heesun Eom, David D Kim, Parke Wilde, John B Wong, Y Claire Wang, Dominique S Michaud, Dariush Mozaffarian and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Obesity-Associated Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

12 authors at 3 institutions in 1 country.

Mengxi DuFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Christina F GriecciFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Frederick F CudheaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Heesun EomFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
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.
Parke WildeFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
John B WongDivision of Clinical Decision Making, Tufts Medical Center, Boston, Massachusetts.
Y Claire WangDepartment of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, New York.
Dominique S MichaudDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, Massachusetts.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Food-PRICE Project
Tufts University · USTufts Medical Center · USColumbia University · US

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
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
NHLBI NIH HHS R01 HL115189NIMHD NIH HHS R01 MD011501
6 · The paper itself

Abstract

Importance: Obesity-associated cancer burdens are increasing in the US. Nutrition policies, such as the Nutrition Facts added-sugar labeling, may reduce obesity-associated cancer rates. Objective: To evaluate the cost-effectiveness of Nutrition Facts added-sugar labeling and obesity-associated cancer rates in the US. Design, Setting, and Participants: A probabilistic cohort state-transition model was used to conduct an economic evaluation of added-sugar labeling and 13 obesity-associated cancers among 235 million adults aged 20 years or older by age, sex, and race/ethnicity over a median follow-up of 34.4 years. Policy associations were considered in 2 scenarios: with consumer behaviors and with additional industry reformulation. The model integrated nationally representative population demographics, diet, and cancer statistics; associations of policy intervention with diet, diet change and body mass index, and body mass index with cancer risk; and policy and health-related costs from established sources. Data were analyzed from January 8, 2019, to May 6, 2020. Main Outcomes and Measures: Net costs and incremental cost-effectiveness ratio were estimated from societal and health care perspectives. Probabilistic sensitivity analyses incorporated uncertainty in input parameters and generated 95% uncertainty intervals (UIs). Results: Based on consumer behaviors, the policy was associated with a reduction of 30 000 (95% UI, 21 600-39 300) new cancer cases and 17 100 (95% UI, 12 400-22 700) cancer deaths, a gain of 116 000 (95% UI, 83 800-153 000) quality-adjusted life-years, and a saving of $1600 million (95% UI, $1190 million-$2030 million) in medical costs associated with cancer care among US adults over a lifetime. The policy was associated with a savings of $704 million (95% UI, $44.5 million-$1450 million) from the societal perspective and $1590 million (95% UI, $1180 million-$2020 million) from the health care perspective. Additional industry reformulation to reduce added-sugar amounts in packaged foods and beverages would double the impact. Greater health gains and cost savings were expected among young adults, women, and non-Hispanic Black individuals than other population subgroups. Conclusions and Relevance: These findings suggest that the added-sugar labeling is associated with reduced costs and lower rates of obesity-associated cancers. Policymakers may consider and prioritize nutrition policies for cancer prevention in the US.

Indexed as

Cost-Benefit AnalysisHealth BehaviorCost SavingsDietary SugarsFood LabelingHealth Care CostsHumansNeoplasmsNutrition PolicyObesityUnited StatesDietary Sugars

Identifiers

PMID33904914
PMCPMC8080223
OpenAlexW3159384401

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.