Evidence map›Paper›PMID 33423881›Full record

ArticleAtencion primaria2021

[Reduction of red and processed meats in the Spanish population: What is its impact on total and cardiovascular mortality?]

Nerea Martín-Calvo, Maira Bes-Rastrollo, Clara Gómez-Donoso, Fernando Rodríguez-Artalejo, Jesús Vioque, Miguel A Royo-Bordonada, Aurora Bueno-Cavanillas, Miguel Ruíz-Canela, Miguel A Martínez-González

Abstract read
In one paragraph

Article in Atencion primaria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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.

Nerea Martín-CalvoDepartamento de Medicina Preventiva y Salud Pública, Universidad de Navarra; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud CarlosIII, Madrid, España. Electronic address: nmartincalvo@unav.es.
Maira Bes-RastrolloDepartamento de Medicina Preventiva y Salud Pública, Universidad de Navarra; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud CarlosIII, Madrid, España.
Clara Gómez-DonosoDepartamento de Medicina Preventiva y Salud Pública, Universidad de Navarra; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud CarlosIII, Madrid, España.
Fernando Rodríguez-ArtalejoDepartamento de Medicina Preventiva y Salud Pública, Universidad Autónoma de Madrid, Madrid, España; CIBER Epidemiología y Salud Pública (CIBEResp), Instituto de Salud CarlosIII, Madrid, España; IMDEA Instituto de Salud CEI UA+CSIC, Madrid, España.
Jesús VioqueCIBER Epidemiología y Salud Pública (CIBEResp), Instituto de Salud CarlosIII, Madrid, España; Universidad Miguel Hernández, ISABIAL-FISABIO, Alicante, España.
Miguel A Royo-BordonadaEscuela Nacional de Sanidad, Instituto de Salud CarlosIII, Madrid, España.
Aurora Bueno-CavanillasCIBER Epidemiología y Salud Pública (CIBEResp), Instituto de Salud CarlosIII, Madrid, España; Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, España; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Servicio Andaluz de Salud/Universidad de Granada, Granada, España.
Miguel Ruíz-CanelaDepartamento de Medicina Preventiva y Salud Pública, Universidad de Navarra; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud CarlosIII, Madrid, España.
Miguel A Martínez-GonzálezDepartamento de Medicina Preventiva y Salud Pública, Universidad de Navarra; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, España; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud CarlosIII, Madrid, España; Department of Nutrition, Harvard T.H. Chan Scholl of Public Health, Boston, MA, Estados Unidos.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQuantify the impact of reducing the consumption of red/processed meats on cardiovascular mortality and all-cause mortality of the Spanish adult population based in 5 revisions published. PARTICIPANTS AND MAIN MEASUREMENTS: We defined exposure as consumption of ≥3 servings/week of red or processed meats and considered four possible scenarios of exposed population (30%-60%). Based on data from the Spanish National Statistics Institute, we calculated the weighted mortality between 40 and 80years. Using the relative risks (RR) and 95% confidence intervals (CI) published by the referred revisions (RR=0.88; IC95%: 0.84-0.93 for all-cause mortality and RR=0.92; IC95%: 0.90-0.93 for cardiovascular mortality), we calculated the expected mortality rate in both exposed and unexposed categories. By multiplying these rates by the number of exposed individuals, we estimated the attributable number of yearly deaths.

resultsIf 60% of the population was exposed, with a 95%CI, the number of cardiovascular deaths that could be averted each year if population consumed <3 servings/week of red or processed meats was between 2.112 and 3.055. If was exposed that 30%, the difference in the yearly number of potentially averted deaths was between 1.079 and 1.577.

conclusionsEven under the most conservative assumption, the benefit, at the population level, of reducing red or processed meats consumption <3 servings/week on cardiovascular mortality is important. The conclusions of the recently published reviews contradicted their own results and contributed to a state of confusion that can create substantial harm for public health.

Indexed as

Cardiovascular DiseasesRed MeatAdultHumansMeatRiskRisk FactorsAttributable fractionAttributable riskCardiovascular mortalityCarne procesadaCarne rojaFracción atribuibleImpacto poblacionalMortalidad cardiovascularMortalidad totalMortalityNutriGRADEPopulation impactProcessed meatRed meatRiesgo atribuible

Identifiers

PMID33423881
PMCPMC7910693

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.