Evidence map›Paper›PMID 35470855›Full record

Observational studyThe American journal of clinical nutrition2022

Ultra-processed foods and risk of all-cause mortality in renal transplant recipients.

Maryse C J Osté, Ming-Jie Duan, Antonio W Gomes-Neto, Petra C Vinke, Juan-Jesus Carrero, Carla Avesani, QingQing Cai, Louise H Dekker, Gerjan J Navis, Stephan J L Bakker and 1 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02811835 (Renal Sensing of the Acidifying Effect of Sulphur-containing Amino Acids), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT02811835 active not recruitingnot on this map

Renal Sensing of the Acidifying Effect of Sulphur-containing Amino Acids: Consequences for the Relation Between Protein Intake and Blood Pressure in Renal Transplant Recipients

Typeobservational_patient_registrySponsorUniversity Medical Center GroningenRan2008 to 2028Enrolled1,007ConditionsTransplantation Infection, Renal Transplant Donor of Left Kidney
3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Maryse C J OstéDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Ming-Jie DuanDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Antonio W Gomes-NetoDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Petra C VinkeDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Carla AvesaniDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
QingQing CaiDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Louise H DekkerDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Gerjan J NavisDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Stephan J L BakkerDivision of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Eva CorpeleijnDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal transplant recipients (RTRs) have a 6-fold higher risk of mortality than age- and sex-matched controls. Whether high consumption of ultra-processed foods is associated with survival in RTRs is unknown.

objectivesWe aimed to study the association between high consumption of ultra-processed foods and all-cause mortality in stable RTRs.

methodsWe conducted a prospective cohort study in adult RTRs with a stable graft. Dietary intake was assessed using a validated 177-item FFQ. Food items were categorized according to the NOVA classification system and the proportion ultra-processed foods comprised of total food weight per day was calculated.

resultsWe included 632 stable RTRs (mean ± SD age: 53.0 ± 12.7 y, 57% men). Mean ± SD consumption of ultra-processed foods was 721 ± 341 g/d (28% of total weight of food intake), whereas the intake of unprocessed and minimally processed foods, processed culinary ingredients, and processed foods accounted for 57%, 1%, and 14%, respectively. During median follow-up of 5.4 y [IQR: 4.9-6.0 y], 129 (20%) RTRs died. In Cox regression analyses, ultra-processed foods were associated with all-cause mortality (HR per doubling of percentage of total weight: 2.13; 95% CI: 1.46, 3.10; P < 0.001), independently of potential confounders. This association was independent from the quality of the overall dietary pattern, expressed by the Mediterranean Diet Score (MDS) or Dietary Approaches to Stop Hypertension (DASH) score. When analyzing ultra-processed foods by groups, only sugar-sweetened beverages (HR: 1.21; 95% CI: 1.05, 1.39; P = 0.007), desserts (HR: 1.24; 95% CI: 1.02, 1.49; P = 0.03), and processed meats (HR: 1.87; 95% CI: 1.22, 2.86; P = 0.004) were associated with all-cause mortality.

conclusionsConsumption of ultra-processed foods, in particular sugar-sweetened beverages, desserts, and processed meats, is associated with a higher risk of all-cause mortality after renal transplantation, independently of low adherence to high-quality dietary patterns, such as the Mediterranean diet and the DASH diet.This trial was registered at clinicaltrials.gov as NCT02811835.

Indexed as

Kidney TransplantationAdultAgedDietEnergy IntakeFast FoodsFemaleFood HandlingHumansKidneyMaleMiddle AgedProspective Studiesall-cause mortalitydietNOVArenal transplant recipientsultra-processed foods

Identifiers

PMID35470855
PMCPMC9170470

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Registered trials

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.