Evidence map›Paper›PMID 38438722›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2024

Comparing ChatGPT and Bing, in response to the Home Blood Pressure Monitoring (HBPM) knowledge checklist.

Michaeel Motaghi Niko, Zahra Karbasi, Maryam Kazemi, Maryam Zahmatkeshan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A multi-layer retrieval-augmented large language model framework for enhancing hypertension education.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Enhancing healthcare with ethical considerations in artificial intelligence.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Michaeel Motaghi NikoStudent Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
Zahra KarbasiDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.ORCID 0000-0002-7658-4124
Maryam KazemiNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Maryam ZahmatkeshanNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran. m.zahmatkeshan@fums.ac.ir.ORCID 0000-0003-4090-391X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High blood pressure is one of the major public health problems that is prevalent worldwide. Due to the rapid increase in the number of users of artificial intelligence tools such as ChatGPT and Bing, it is expected that patients will use these tools as a source of information to obtain information about high blood pressure. The purpose of this study is to check the accuracy, completeness, and reproducibility of answers provided by ChatGPT and Bing to the knowledge questionnaire of blood pressure control at home. In this study, ChatGPT and Bing's responses to the HBPM 10-question knowledge checklist on blood pressure measurement were independently reviewed by three cardiologists. The mean accuracy rating of ChatGPT was 5.96 (SD = 0.17) indicating the responses were highly accurate overall, with the vast majority receiving the top score. The mean accuracy and completeness of ChatGPT were 5.96 (SD = 0.17) and 2.93 (SD = 0.25) and in Bing were 5.31 (SD = 0.67), and 2.13 (SD = 0.53) Respectively. Due to the expansion of artificial intelligence applications, patients can use new tools such as ChatGPT and Bing to search for information and at the same time can trust the information obtained. we found that the answers obtained from ChatGPT are reliable and valuable for patients, while Bing is also considered a powerful tool, it has more limitations than ChatGPT, and the answers should be interpreted with caution.

Indexed as

Blood Pressure Monitoring, AmbulatoryArtificial IntelligenceChecklistFemaleHealth Knowledge, Attitudes, PracticeHumansHypertensionMaleReproducibility of ResultsSurveys and QuestionnairesArtificial intelligenceBingblood pressureChatGPTHBPM

Identifiers

What Socratic 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 Socratic graph.