Evidence map›Paper›PMID 35729550›Full record

SynthesisBMC public health2022

The future costs of cancer attributable to excess body weight in Brazil, 2030-2040.

Leandro F M Rezende, Thainá Alves Malhão, Rafael da Silva Barbosa, Arthur Orlando Correa Schilithz, Ronaldo Corrêa Ferreira da Silva, Luciana Grucci Maya Moreira, Paula Aballo Nunes Machado, Bruna Pitasi Arguelhes, Maria Eduarda Leão Diogenes Melo

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Economic costs of obesity: a systematic review.International journal of obesity (2005) · 2024
    Pooled it
  2. Article
  3. Article
  4. 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

9 authors at 4 institutions in 1 country.

Leandro F M RezendeDepartment of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Thainá Alves MalhãoCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil. tmalhao@inca.gov.br.
Rafael da Silva BarbosaPostgraduate Program in Social Policy, Federal University of Espírito Santo, Vitoria, Brazil.
Arthur Orlando Correa SchilithzCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
Ronaldo Corrêa Ferreira da SilvaCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
Luciana Grucci Maya MoreiraCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
Paula Aballo Nunes MachadoCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
Bruna Pitasi ArguelhesCancer Prevention and Surveillance Coordination Unit, Brazilian National Cancer Institute José Alencar Gomes da Silva, Rio de Janeiro, Brazil.
Maria Eduarda Leão Diogenes MeloDepartment of Basic and Experimental Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Instituto Nacional do Câncer · BRUniversidade do Estado do Rio de Janeiro · BRUniversidade Federal de São Paulo · BRUniversidade Federal do Espírito Santo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess body weight (EBW), herein defined as body mass index (BMI) ≥25 kg/m

methodsWe developed a macrosimulation model by sex using self-reported BMI data in adults ≥ 20 years who relied exclusively on the public health system from the Brazilian National Health Survey (PNS) 2019; relative risks for 12 types of cancer from the World Cancer Research Fund/American Institute Cancer Research (WCRF/AICR) meta-analysis; and nationwide registries of federal direct healthcare costs of inpatient and outpatient procedures in adults ≥30 years with cancer from 2008-2019. We calculated the attributable costs of cancer via comparative risk assessment, assuming a 10-year lag between exposure and outcome. We used the potential impact fraction (PIF) equation and the Monte Carlo simulation method to estimate the attributable costs and 95% uncertainty intervals, considering the theoretical-minimum-risk exposure and other counterfactual (alternative) scenarios of the EBW prevalence. We assessed the cancer costs attributable to EBW, multiplying PIF by the direct healthcare costs of cancer.

resultsIn 2030, 2.4% or US$ 62.8 million in direct healthcare costs of cancer may be attributable to EBW. We projected potential savings of approximately US$ 10.3 to 26.6 million in 2040 by reducing the prevalence of EBW in 2030.

conclusionsWe estimated high future costs of cancer attributable to EBW in Brazil. Our findings may support interventions and policies focused on the primary prevention of EBW and cancer.

Indexed as

NeoplasmsWeight GainAdultBody Mass IndexBrazilHealth Care CostsHumansRisk FactorsCancerCost of cancerCost-of-illness economic burden of diseasesObesityOverweight

Identifiers

PMID35729550
PMCPMC9215059
OpenAlexW4283322258

What Socratic 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 Socratic graph.