Evidence map›Paper›PMID 38699398›Full record

ArticleMetabolism open2024

Effectiveness of a hybrid approach in integrating GLP-1 agonists and lifestyle guidance for obesity and pre-diabetes management: RWE retrospective study.

Hala Zakaria, Sheikha Alshehhi, Milena Caccelli, Cigdem Ozkan, Judy Kattan, Zeinab Jafaar, Remie Laborte, Sofia Aleabova, Noah Almarzooqi, Ali Hashemi and 1 more

Abstract read
In one paragraph

Article in Metabolism open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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.

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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Glucagon-Like Peptide-1 Receptor Agonists: Their Potential Role in Prediabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. GLP-1 agonists and exercise: the future of lifestyle prioritization.Frontiers in clinical diabetes and healthcare · 2025
    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

11 authors.

Hala ZakariaGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Sheikha AlshehhiGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Milena CaccelliGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Cigdem OzkanGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Judy KattanGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Zeinab JafaarGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Remie LaborteGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Sofia AleabovaGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Noah AlmarzooqiGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Ali HashemiGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.
Ihsan AlmarzooqiGluCare.Health, 268 Al Wasl Road, Jumeirah 1, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Emerging anti-obesity pharmacotherapy provides an option to correct maladaptive physiological and hormonal changes associated with obesity. One of the widely used medications in this context is glucagon-like peptide 1 (GLP-1) agonists. However, the misuse of these medications without any guidance and monitoring of lifestyle modifications can lead to unfavorable outcomes. The study aims to evaluate the effectiveness of a hybrid care model, incorporating GLP-1 and GLP-1/GIP agonist therapies, in managing obese patients with/without pre-diabetes. This study showcases the midway results of a 6-month program, which includes a multidisciplinary care team and digital technology for continuous engagement and monitoring of patients, both in-clinic and remotely. Methods: In a retrospective observational study, 115 participants were treated with GLP-1s (semaglutide, tirzepatide, and liraglutide). Physicians, dietitians, and coaches worked together to support behavioral changes using a dedicated app provided to patients. At the care team end, an integrated portal enabled continuous data flow allowing for the care team to provide personalized care via chat at regular intervals. Data collected included food logs, continuous glucose monitoring (CGM), and digital biomarkers such as sleep and activity. Results: At the midpoint of the program, participants exhibited statistically significant improvements in various metabolic parameters. Mean weight reduction was 8 %, with significant reductions in BMI, fat mass, and cholesterol levels. 24 (20.9 %) of patients lost ≥5 % of body weight, 55 (47.8 %) patients lost ≥10 % weight, and 36 (31.3 %) patients lost ≥15 % weight. Sub-analysis of pre-diabetic patients (n=36) demonstrated substantial improvements, including control of pre-diabetes in 80.6 % of cases and reduced HbA1c levels back to normoglycemia (5.39 ± 0.27). Conclusion: The Zone.Health's program, which combines pharmacotherapy with continuous engagement and monitoring to enable sustainable lifestyle modifications, demonstrated significant improvements in weight, body composition, and metabolic markers. Pre-diabetes was also effectively addressed. It is necessary to conduct further research to assess the long-term sustainability and optimal adoption of such care models into clinical practice.

Indexed as

Anti-Obesity pharmacologyGLP-1 agonistsHybrid care modelObesityPre-diabetesWeight loss

Identifiers

PMID38699398
PMCPMC11064605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.