Evidence map›Paper›PMID 37273533›Full record

ArticlePeerJ2023

Assessment of eight insulin resistance surrogate indexes for predicting metabolic syndrome and hypertension in Thai law enforcement officers.

Rujikorn Rattanatham, Jitbanjong Tangpong, Moragot Chatatikun, Dali Sun, Fumitaka Kawakami, Motoki Imai, Wiyada Kwanhian Klangbud

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
7.8field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Rujikorn RattanathamSchool of Allied Health Sciences, Walailak University, Thasala, Nakhon Si Thammarat, Thailand.
Jitbanjong TangpongSchool of Allied Health Sciences, Walailak University, Thasala, Nakhon Si Thammarat, Thailand.
Moragot ChatatikunSchool of Allied Health Sciences, Walailak University, Thasala, Nakhon Si Thammarat, Thailand.
Dali SunBiomedical Engineering Program, North Dakota State University, Fargo, North Dakota, United States.
Fumitaka KawakamiResearch Facility of Regenerative Medicine and Cell Design, School of Allied Health Sciences, Kitasato University, Sagamihara, Kitasato, Japan.
Motoki ImaiResearch Facility of Regenerative Medicine and Cell Design, School of Allied Health Sciences, Kitasato University, Sagamihara, Kitasato, Japan.
Wiyada Kwanhian KlangbudSchool of Allied Health Sciences, Walailak University, Thasala, Nakhon Si Thammarat, Thailand.ORCID 0000-0002-5247-166X
Walailak University · THKitasato University · JPNorth Dakota State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Police officers in Thailand have an increased risk of heart disease, stroke, and type 2 diabetes, possibly due to a high prevalence of hypertension and metabolic syndrome (MetS). In this study, the researchers aimed to understand the relationship between surrogate markers of insulin resistance (IR) and the prevalence of MetS and hypertension in Thai police officers. The study included 7,852 police officer participants, of which 91.8% were men with an average age of 48.56 years. The prevalence of hypertension and MetS were found to be 51.1% and 30.8%, respectively, and the participants with MetS and hypertension were older compared to the regular group. The study looked at eight IR indices, including markers such as atherogenic index of plasma (AIP), lipid accumulation product (LAP), metabolic score for insulin resistance (METS-IR), triglyceride glucose (TyG) index, TyG index with body mass index (TyG-BMI), TyG index with waist circumference (TyG-WC), the ratio of triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-c), and visceral obesity index (VAI). These indices were found to be positively correlated with waist circumference, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), and triglycerides (TG), while being negatively correlated with high-density lipoprotein cholesterol (HDL-c). In addition, the multiple regression analysis showed that higher quartiles of all IR indices were significantly associated with increased risks of MetS and hypertension. Interestingly, the IR indices were more accurate in predicting MetS (ranges 0.848 to 0.892) than traditional obesity indices, with the AUC difference at

Indexed as

Diabetes Mellitus, Type 2HypertensionInsulin ResistanceMetabolic SyndromeAdiposityBlood GlucoseCholesterolFemaleGlucoseHumansLipoproteins, HDLMaleMiddle AgedPoliceSoutheast Asian PeopleThailandBlood GlucoseCholesterolGlucoseLipoproteins, HDLTriglyceridesHypertensionInsulin resistance surrogate indexLaw enforcement officerMetabolic syndromePolice officer

Identifiers

PMID37273533
PMCPMC10234272
OpenAlexW4378627500

What OpenQuestion holds

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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.