Evidence map›Paper›PMID 36114354›Full record

ArticleArchives of osteoporosis2022

Association between metabolic syndrome and osteoporosis among adults aged 50 years and older: using the National Health Information Database in South Korea.

Sang Youl Rhee, Dong Keon Yon, Mi Jung Kwon, Ji Hee Kim, Joo-Hee Kim, Woo Jin Bang, Jung Woo Lee, Bong-Cheol Kwon, Hyo Geun Choi, Chanyang Min

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In one paragraph

Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 12 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

10 authors at 4 institutions in 1 country.

Sang Youl Rhee *Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Dong Keon Yon *Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Mi Jung KwonDepartment of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Ji Hee KimDepartment of Neurosurgery, Hallym University College of Medicine, Anyang, Korea.
Joo-Hee KimDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Woo Jin BangDepartment of Urology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Jung Woo LeeDepartment of Orthopaedic Surgery, Yonsei University Wonju College of Medicine, Wonju, Korea.
Bong-Cheol KwonDepartment of Orthopaedic Surgery, Hallym University College of Medicine, Anyang, Korea.
Hyo Geun ChoiHallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea. pupen@naver.com.
Chanyang MinCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea. joicemin@naver.com.
Hallym University · KRHallym University Sacred Heart Hospital · KRKyung Hee University Medical Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the association between a history of metabolic syndrome (MetS) and osteoporosis with specific characteristics. The results showed that MetS was inversely associated with osteoporosis. In contrast, MetS was positively associated with osteoporosis in both obese men and postmenopausal obese women. PURPOSE: Although several previous studies have investigated the association between MetS and osteoporosis, their findings remain controversial. This study aimed to examine the association between a MetS history and osteoporosis using a subset of data from a large, long-term, national database.

methodsThis nested case-control study used the National Health Information Database (NHID) of the Korea National Health Insurance Service (NHIS) from 2009 to 2017. Osteoporosis (n = 459,771) and control (n = 459,771) participants were matched in a 1:1 ratio by age, gender, income, and region of residence. MetS was defined based on the modified National Cholesterol Education Program-Adult Treatment Panel III criteria. Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for osteoporosis in patients with MetS and its components were analyzed using logistic regression. Subgroup analyses were performed according to the combination of gender, menopausal status, and obesity status.

resultsThe adjusted OR (95% CI) for osteoporosis in patients with MetS was 0.95 (0.94-0.96). This finding was consistent with the subgroup analyses in normal weight men, premenopausal (pre-MP) women with all obesity statuses, and postmenopausal (post-MP) underweight and normal weight women. In contrast, the opposite was observed for obese men (OR = 1.05, 95% CI = 1.01-1.09) and post-MP obese women (OR = 1.05, 95% CI = 1.01-1.08).

conclusionThis study results suggested that MetS was associated with a low occurrence of osteoporosis. In contrast, MetS was associated with a high occurrence of osteoporosis in both obese men and post-MP obese women.

Indexed as

Metabolic SyndromeOsteoporosisAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedObesityPremenopauseAbdominal obesityBone mineral densityMetabolic syndromeObesityOsteoporosisPostmenopausal women

Identifiers

PMID36114354
OpenAlexW4295996331

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.