Evidence map›Paper›PMID 34666349›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2022

Are Processed Tomato Products as Nutritious as Fresh Tomatoes? Scoping Review on the Effects of Industrial Processing on Nutrients and Bioactive Compounds in Tomatoes.

Xianli Wu, Liangli Yu, Pamela R Pehrsson

Abstract readScoping Review
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Transcriptomics Analysis Reveals an Early Response GeneCurrent issues in molecular biology · 2025
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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

3 authors.

Liangli Yu
Pamela R Pehrsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tomatoes are the second most consumed vegetable in the United States. In 2017, American people consumed 9.2 kg of tomatoes from a fresh market and 33.2 kg of processed tomato products per capita. One commonly asked question by consumers and the nutrition community is "Are processed tomato products as nutritious as fresh tomatoes?" This review addresses this question by summarizing the current understandings on the effects of industrial processing on the nutrients and bioactive compounds of tomatoes. Twelve original research papers were found to study the effects of different industrial processing methods on the nutrients and/or bioactive compounds in tomato products. The data suggested that different processing methods had different effects on different compounds in tomatoes. However, currently available data are still limited, and the existing data are often inconsistent. The USDA National Nutrient Database for Standard Reference Legacy was utilized to estimate nutrient contents from raw tomatoes and processed tomato products. In addition, several other important factors specifically related to the industrial processing of tomatoes were also discussed. To conclude, there is no simple "yes" or "no" answer to the question "Are processed tomato products as nutritious as fresh tomatoes?" Many factors must be considered when comparing the nutritious value between fresh tomatoes and processed tomato products. At this point, we do not have sufficient data to fully understand all of the factors and their impacts.

Indexed as

Solanum lycopersicumFood HandlingHumansNutrientsVegetablesNutrientsbioactive compoundsindustrial processingnutrienttomatoestomato product

Identifiers

PMID34666349
PMCPMC8803485

What OpenQuestion holds

Textmetadata
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.