Evidence map›Paper›PMID 38239542›Full record

ArticleCureus2023

Public Awareness of Obesity as a Risk Factor for Cancer in Central Saudi Arabia: Feasibility of ChatGPT as an Educational Intervention.

Turki M Alanzi, Wala Alzahrani, Nouf S Albalawi, Taif Allahyani, Atheer Alghamdi, Haneen Al-Zahrani, Awatif Almutairi, Hayat Alzahrani, Latifah Almulhem, Nouf Alanzi and 2 more

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

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

  1. Large language models in obesity: a systematic review.International journal of obesity (2005) · 2026
    Pooled it
  2. Article
  3. Article
  4. 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

12 authors.

Turki M AlanziDepartment of Health Information Management and Technology, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, SAU.
Wala AlzahraniDepartment of Clinical Nutrition, College of Applied Medical Sciences, King Abdulaziz University, Jeddah, SAU.
Nouf S AlbalawiCollege of Medicine, Tabuk University, Tabuk, SAU.
Taif AllahyaniCollege of Applied Medical Sciences, Umm Al-Qura University, Makkah, SAU.
Atheer Alghamdi‏Collage of Pharmacy, Taif University, Taif, SAU.
Haneen Al-Zahrani‏Department of Hematology, ‏Armed Forces Hospital at King Abdulaziz Airbase Dhahran, Dhahran, SAU.
Awatif AlmutairiDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU.
Hayat AlzahraniCollege of Pharmacy, Taif University, Taif, SAU.
Latifah AlmulhemCollege of Medicine, King Faisal University, Al Hofuf, SAU.
Nouf AlanziDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Jouf University, Jouf, SAU.
Abdulrhman Al MoarfegCollege of Science and Arts, King Khalid University, Muhayil Asir, SAU.
Nesren FarhahDepartment of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the link between obesity and chronic diseases such as diabetes and cardiovascular disorders is well-documented, there is a growing body of evidence connecting obesity with an increased risk of cancer. However, public awareness of this connection remains limited. STUDY PURPOSE: To analyze public awareness of overweight/obesity as a risk factor for cancer and analyze public perceptions on the feasibility of ChatGPT, an artificial intelligence-based conversational agent, as an educational intervention tool.

methodsA mixed-methods approach including deductive quantitative cross-sectional approach to draw precise conclusions based on empirical evidence on public awareness of the link between obesity and cancer; and inductive qualitative approach to interpret public perceptions on using ChatGPT for creating awareness of obesity, cancer and its risk factors was used in this study. Participants included adult residents in Saudi Arabia. A total of 486 individuals and 21 individuals were included in the survey and semi-structured interviews respectively.

resultsAbout 65% of the participants are not completely aware of cancer and its risk factors. Significant differences in awareness were observed concerning age groups (p < .0001), socio-economic status (p = .041), and regional distribution (p = .0351). A total of 10 themes were analyzed from the interview data, which included four positive factors (accessibility, personalization, cost-effectiveness, anonymity and privacy, multi-language support) and five negative factors (information inaccuracy, lack of emotional intelligence, dependency and overreliance, data privacy and security, and inability to provide physical support or diagnosis).

conclusionThis study has underscored the potential of leveraging ChatGPT as a valuable public awareness tool for cancer in Saudi Arabia.

Indexed as

artificial intelligenceawarenesscancerchatgptknowledgeobesityoverweightpublic

Identifiers

PMID38239542
PMCPMC10795720

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.