Evidence map›Paper›PMID 37884680›Full record

ArticleNPJ digital medicine2023

Digital lifestyle treatment improves long-term metabolic control in type 2 diabetes with different effects in pathophysiological and genetic subgroups.

Vishal A Salunkhe, Neha Sinha, Emma Ahlqvist, Rashmi B Prasad, Svetlana Johansson, Birgitta Abrahamsson, Anders H Rosengren

Registry-linked trialAbstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04624321 (Study to Evaluate the Digital Health and Lifestyle Tool Developed at the University of Gothenburg), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT04624321 naactive not recruitingnot on this map

Study to Evaluate the Digital Health and Lifestyle Tool Developed at the University of Gothenburg

TypeinterventionalSponsorRegion SkaneRan2021 to 2026Enrolled300ConditionsDiabetes Mellitus, Type 2ArmsHealth and lifestyle tool, Usual care
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Review
  4. Observational
  5. 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

7 authors.

Vishal A Salunkhe *Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Neha Sinha *Department of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Emma AhlqvistLund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Rashmi B PrasadLund University Diabetes Centre, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Svetlana JohanssonRegion Skåne, Kristianstad, Sweden.
Birgitta AbrahamssonDepartment of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Anders H RosengrenDepartment of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden. anders.rosengren@gu.se.ORCID http://orcid.org/0000-0002-9333-5736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the unmet need for scalable solutions for lifestyle treatment, we developed a new digital method to promote behavioral change. Here we report that patients with type-2 diabetes in Sweden (n = 331) exposed to the intervention have significantly improved HbA1c during a median follow-up of 1038 days (4 mmol/mol compared with matched controls; P = 0.009). This is paralleled by reduced body weight, ameliorated insulin secretion, increased physical activity, and cognitive eating restraints. Participants with high BMI and insulin resistance have an even larger response, as have non-risk allele carriers for the FTO gene. The findings open a new avenue for scalable lifestyle management with sustained efficacy and highlight a previously unrecognized opportunity for digital precision treatment based on genetics and individual pathophysiology. ClinicalTrials.gov NCT04624321.

Identifiers

PMID37884680
PMCPMC10603160

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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.