Evidence map›Paper›PMID 32449201›Full record

SynthesisThe Cochrane database of systematic reviews2020

Non-nutritive sweeteners for diabetes mellitus.

Szimonetta Lohner, Daniela Kuellenberg de Gaudry, Ingrid Toews, Tamas Ferenci, Joerg J Meerpohl

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 10% of its field
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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Guideline
  4. Article
  5. Article
  6. Steviol Glycosides (E960) FromFood science & nutrition · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Impacts of non-nutritive sweeteners on the human microbiome.Immunometabolism (Cobham, Surrey) · 2025
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Introduction to the dietary management of obesity in adults.Clinical medicine (London, England) · 2023
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Szimonetta LohnerCochrane Hungary, Clinical Center of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary.
Daniela Kuellenberg de GaudryInstitute for Evidence in Medicine (for Cochrane Germany Foundation), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Ingrid ToewsInstitute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Tamas FerenciPhysiological Controls Research Center, Obuda University, Budapest, Hungary.
Joerg J MeerpohlInstitute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEObuda University · HUUniversité Paris Cité · FRUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProducts sweetened with non-nutritive sweeteners (NNS) are widely available. Many people with type 1 or type 2 diabetes use NNS as a replacement for nutritive sweeteners to control their carbohydrate and energy intake. Health outcomes associated with NNS use in diabetes are unknown.

objectivesTo assess the effects of non-nutritive sweeteners in people with diabetes mellitus. SEARCH

methodsWe searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE Ovid, Scopus, the WHO ICTRP, and ClinicalTrials.gov. The date of the last search of all databases (except for Scopus) was May 2019. We last searched Scopus in January 2019. We did not apply any language restrictions. SELECTION CRITERIA: We included randomised controlled trials (RCTs) with a duration of four weeks or more comparing any type of NNS with usual diet, no intervention, placebo, water, a different NNS, or a nutritive sweetener in individuals with type 1 or type 2 diabetes. Trials with concomitant behaviour-changing interventions, such as diet, exercise, or both, were eligible for inclusion, given that the concomitant interventions were the same in the intervention and comparator groups. DATA COLLECTION AND ANALYSIS: Two review authors independently screened abstracts, full texts, and records retrieved from trials registries, assessed the certainty of the evidence, and extracted data. We used a random-effects model to perform meta-analysis, and calculated effect estimates as risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, using 95% confidence intervals (CIs). We assessed risk of bias using the Cochrane 'Risk of bias' tool and the certainty of evidence using the GRADE approach. MAIN

resultsWe included nine RCTs that randomised a total of 979 people with type 1 or type 2 diabetes. The intervention duration ranged from 4 to 10 months. We judged none of these trials as at low risk of bias for all 'Risk of bias' domains; most of the included trials did not report the method of randomisation. Three trials compared the effects of a dietary supplement containing NNS with sugar: glycosylated haemoglobin A1c (HbA1c) was 0.4% higher in the NNS group (95% CI -0.5 to 1.2; P = 0.44; 3 trials; 72 participants; very low-certainty evidence). The MD in weight change was -0.1 kg (95% CI -2.7 to 2.6; P = 0.96; 3 trials; 72 participants; very low-certainty evidence). None of the trials with sugar as comparator reported on adverse events. Five trials compared NNS with placebo. The MD for HbA1c was 0%, 95% CI -0.1 to 0.1; P = 0.99; 4 trials; 360 participants; very low-certainty evidence. The 95% prediction interval ranged between -0.3% and 0.3%. The comparison of NNS versus placebo showed a MD in body weight of -0.2 kg, 95% CI -1 to 0.6; P = 0.64; 2 trials; 184 participants; very low-certainty evidence. Three trials reported the numbers of participants experiencing at least one non-serious adverse event: 36/113 participants (31.9%) in the NNS group versus 42/118 participants (35.6%) in the placebo group (RR 0.78, 95% CI 0.39 to 1.56; P = 0.48; 3 trials; 231 participants; very low-certainty evidence). One trial compared NNS with a nutritive low-calorie sweetener (tagatose). HbA1c was 0.3% higher in the NNS group (95% CI 0.1 to 0.4; P = 0.01; 1 trial; 354 participants; very low-certainty evidence). This trial did not report body weight data and adverse events. The included trials did not report data on health-related quality of life, diabetes complications, all-cause mortality, or socioeconomic effects. AUTHORS'

conclusionsThere is inconclusive evidence of very low certainty regarding the effects of NNS consumption compared with either sugar, placebo, or nutritive low-calorie sweetener consumption on clinically relevant benefit or harm for HbA1c, body weight, and adverse events in people with type 1 or type 2 diabetes. Data on health-related quality of life, diabetes complications, all-cause mortality, and socioeconomic effects are lacking.

Indexed as

AdultAgedBiasBody WeightDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMiddle AgedNon-Nutritive SweetenersNutritive SweetenersPlacebosQuality of LifeRandomized Controlled Trials as TopicGlycated HemoglobinNon-Nutritive SweetenersNutritive SweetenersPlacebos

Identifiers

PMID32449201
PMCPMC7387865
OpenAlexW2769591579

What Socratic 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 Socratic graph.