Evidence map›Paper›PMID 22968100›Full record

Trial reportEuropean journal of clinical nutrition2012

Effects of two different types of fast food on postprandial metabolism in normal and overweight subjects.

A Ramel, F D Gudmundsdottir, I Thorsdottir

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
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.

A RamelUnit for Nutrition Research, Department of Food Science and Human Nutrition, Landspitali-University Hospital, University of Iceland, Reykjavik, Iceland.
F D Gudmundsdottir
I Thorsdottir

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe aim was to investigate the effects of a conventional and an unconventional fast-food meal on postprandial metabolism in normal and in overweight subjects. SUBJECTS/

methodsTwenty-five healthy normal (n = 12) and overweight (n = 13) volunteers (21-39 years) participated in this randomized, dietary cross-over study and received two test meals (matched in energy and energy giving nutrients) after an overnight fast with 1 week between test days. The conventional fast-food meal was a hamburger meal (hamburger, bacon, cola drink, calculated glycemic load = 48.7), the unconventional fast food was a salmonburger meal (fiber-rich sourdough rye bread, salad with vinegar, orange juice, glycemic load = 46.0). Blood samples were taken before and after the meal and analyzed for glucose (before 20, 40, 60 and 80 min) and insulin (before 1, 2 and 3 h).

resultsPostprandial increases in glucose and insulin were 44% lower after the unconventional meal (P<0.001 and P = 0.003, respectively). The difference between meals in insulin response (that is, conventional meal higher than unconventional) correlated with body mass index (BMI) (r = 0.538, P = 0.006).

conclusionsUnconventional fast food can have less effect on blood insulin and glucose postprandially compared with conventional fast food matched in energy and energy giving nutrients. The difference between meals in insulin response is associated with higher BMI. Thus, improvement in food quality might help to control postprandial increases in blood glucose and blood insulin.

Indexed as

Body Mass IndexDietFast FoodsAdultBlood GlucoseHumansInsulinMeatObesityOverweightPostprandial PeriodReference ValuesYoung AdultBlood GlucoseInsulin

Identifiers

PMID22968100

What OpenQuestion holds

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Registered trials

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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.