Evidence map›Paper›PMID 22415336›Full record

Trial reportEuropean journal of clinical nutrition2012

Dietary associations with prediabetic states--the DR's EXTRA Study (ISRCTN45977199).

H M Heikkilä, U Schwab, B Krachler, R Männikkö, R Rauramaa

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. 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

5 authors.

H M HeikkiläKuopio Research Institute of Exercise Medicine, Kuopio, Finland.
U Schwab
B Krachler
R Männikkö
R Rauramaa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesImpaired fasting plasma glucose (IFG) and impaired glucose tolerance (IGT) predict development of type 2 diabetes (T2D), but display different pathophysiology for T2D. We studied the association of selected food items and nutrients with IFG, IGT and combined IFG and IGT (IFG+IGT), independent of cardiorespiratory fitness (VO(2max)). SUBJECTS/

methodsIn a population-based sample of 1261 individuals, aged 58-78 years, we identified 126 subjects with IFG, 97 with IGT and 49 with simultaneous IFG and IGT by an oral glucose tolerance test. Dietary intake was assessed by 4-day food records. Cardiorespiratory fitness was assessed by defining maximal oxygen uptake (VO(2max)) from respiratory gas analysis during a maximal symptom-limited exercise stress test on a bicycle ergometer.

resultsIncreased intake of saturated fat was associated with higher odds for IFG (OR 1.07; 1.01-1.14) after adjustment for age, gender, VO(2max) and energy misreporting variable. Consumption of additional whole-grain bread (50 g/1000 kcal) and intake of dietary fiber (g/1000 kcal) were inversely associated with IGT (OR 0.61; 0.41-0.92, OR 0.91; CI 0.85-0.97, respectively).

conclusionDietary fiber and sources of cereal fiber are negatively associated with IGT, and saturated fat intake is positively associated with IFG, but not with IGT. The present data give practical dietary means at the population level for the elimination of prediabetic conditions.

Indexed as

Energy IntakeAgedBicyclingBlood GlucoseBreadCardiovascular SystemDietDietary FatsDietary FiberDiet RecordsEdible GrainExercise TestFastingFatty AcidsFemaleGlucose IntoleranceBlood GlucoseDietary FatsDietary FiberFatty Acids

Identifiers

PMID22415336

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.