Evidence map›Paper›PMID 42997345›Full record

ArticleFrontiers in digital health2026

Autonomous digital lifestyle intervention for obesity: a comparative study of software-generated vs. provider-delivered body composition outcomes.

Ioanna Pagani, Maria Syed, Cynthia Ages, Michael Bell, Yannis Raftopoulos

Abstract read
In one paragraph

Article in Frontiers in digital health, 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

5 authors.

Ioanna PaganiDepartment of Surgery, Holyoke Medical Center, Holyoke, MA, United States.
Maria SyedDepartment of Surgery, Holyoke Medical Center, Holyoke, MA, United States.
Cynthia AgesDepartment of Surgery, Boundless Apps LLC, Los Angeles, CA, United States.
Michael BellDepartment of Surgery, Holyoke Medical Center, Holyoke, MA, United States.
Yannis RaftopoulosDepartment of Surgery, Holyoke Medical Center, Holyoke, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many lifestyle intervention apps for weight management rely on human coaching, which increases cost and variability, or use calorie-counting approaches that lack structured, individualized guidance. Fully autonomous digital platforms that deliver personalized nutrition and exercise plans with body composition tracking remain limited. Objective: To compare an autonomous, protein-focused digital lifestyle intervention (RightBMI App) with provider-delivered lifestyle intervention for weight loss and body composition outcomes in metabolic and bariatric surgery (MBS) candidates. Materials and methods: This prospective quasi-experimental study enrolled 160 patients at a single center (April 2024-April 2025). Patients were sequentially allocated to the RightBMI App ( Results: In GEE models, the App group showed significantly greater %TBWL at weeks 12 (+2.64%, Conclusion: The autonomous RightBMI App demonstrated greater mid-study weight and fat loss compared with provider-delivered care after statistical adjustment, with comparable 24-week outcomes and effective muscle preservation. Time-to-event analysis showed no significant difference in time to achieve ≥10% TBWL. These findings support the potential of fully autonomous digital platforms as scalable alternatives to traditional provider-led interventions in MBS candidates. Limitations include the non-randomized design and use of consumer-grade bioimpedance scales.

Indexed as

body composition (BC)body mass index (BMI)daily protein intake goal (DPIG)digital healthfat mass loss (FML)generalized estimated equations (GEE) modelslifestyle intervention (LI)metabolic and bariatric surgery (MBS)

Identifiers

PMID42997345
PMCPMC13741800

What OpenQuestion holds

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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.