Evidence map›Paper›PMID 37332005›Full record

ArticleAnnals of biomedical engineering2023

Chat GPT in Tailoring Individualized Lifestyle-Modification Programs in Metabolic Syndrome: Potentials and Difficulties?

Ali Mohamed Ali Ismail

Abstract readLetter
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In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Effectiveness of lifestyle-modification approach (a randomized-controlled program of diet restriction and treadmill walking exercise) on elderly's metabolic syndrome-associated subjective tinnitus.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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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

1 author.

Ali Mohamed Ali IsmailDepartment of Physical Therapy for Cardiovascular/Respiratory Disorder and Geriatrics, Faculty of Physical Therapy, Cairo University, Giza, Egypt. ali.mohamed@pt.cu.edu.eg.ORCID https://orcid.org/0000-0003-1447-8817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide metabolic syndrome (MeTS) rates have been alarmingly increased in the last decades. The use of Chat GPT technology allows for the provision of individualized guidance on MeTS-related health issues like dietary restriction programs, nutritional plans, and exercise regimens/protocols. The use of Chat GPT technology in providing MeTS patients with health advices may be limited by continuous need for high-speed internet sources or advanced/sophisticated computing technologies, providing incorrect/harmful medical/lifestyle advice to patients, and concerns around the security/privacy of MeTS patients' information.

Indexed as

Metabolic SyndromeExerciseHumansLife StyleChat GPTLifestyle modificationMetabolic syndrome

Identifiers

What OpenQuestion 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 OpenQuestion graph.