Evidence map›Paper›PMID 42888249›Full record

ArticleNature medicine2026

Real-world, digital-first delivery of GLP-1 receptor agonist therapy in women.

John Deanfield, Jamie Lai Chun Wong, Michail Katsoulis, Emma Deanfield, Raj Thakkar, Riyaz Patel, Rachael Joy, Matthew Noble, Donna H Ryan

Abstract read
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In one paragraph

Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

John DeanfieldInstitute of Cardiovascular Science, University College London, London, UK. j.deanfield@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8806-6052
Jamie Lai Chun WongUnit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK.ORCID http://orcid.org/0000-0002-0052-5144
Michail KatsoulisUnit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK.ORCID http://orcid.org/0000-0002-1756-9530
Emma DeanfieldIndependent researcher, London, UK.
Raj ThakkarPrimary Care Cardiology Lead, Oxford and Thames Valley Health Innovation Network, High Wycombe, UK.ORCID http://orcid.org/0000-0003-4811-6865
Riyaz PatelInstitute of Clinical Trials and Methodology, University College London, London, UK.ORCID http://orcid.org/0000-0003-4603-2393
Rachael JoySheMed, London, UK.ORCID http://orcid.org/0009-0007-8984-0602
Matthew NobleeMed Healthcare UK, London, UK.ORCID http://orcid.org/0000-0003-1174-186X
Donna H RyanPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have demonstrated substantial weight reduction and cardiometabolic benefit in randomized trials; however, prospective implementation evidence from digital care models and female sex community populations remains limited. Here we report outcomes from an observational study of 8,127 women initiating GLP-1RA therapy (99.8% tirzepatide) through a structured digital program incorporating mandatory biochemical monitoring, weekly video-supported follow-up and clinician-guided dose titration in the UK. Mean weight reduction was 16.1 kg (95% confidence interval 15.9 to 16.2; P < 0.001), representing 15.5% of baseline weight; 83.1% achieved ≥10% and 22.4% achieved ≥20% weight loss, with consistent responses across age, baseline weight and socioeconomic strata. Among participants with paired biomarker data, mean glycated hemoglobin decreased by 3.3 mmol mol

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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.