Evidence map›Paper›PMID 39604954›Full record

ArticleBMC endocrine disorders2024

Systemic immune-inflammatory index predicts fragility fracture risk in postmenopausal anemic females with type 2 diabetes mellitus: evidence from a longitudinal cohort study.

Dinggui Huang, Qi He, Jiangmei Pan, Zhenwei Zhai, Jingxia Sun, Qiu Wang, Wenxin Chu, Jianhao Huang, Jinming Yu, Xiaoqin Qiu and 1 more

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Dinggui Huang *Project Fund Supervision Center, Health Commission of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, People's Republic of China.
Qi He *Health Examination Center, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, People's Republic of China.
Jiangmei Pan *Department of Infectious Diseases, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, People's Republic of China.
Zhenwei Zhai *Department of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Jingxia SunDepartment of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Qiu WangDepartment of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Wenxin ChuDepartment of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Jianhao HuangDepartment of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Jinming YuDepartment of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China.
Xiaoqin QiuDepartment of Nursing, the Guangxi Hospital of the First Affiliated Hospital of Sun Yat-Sen University, No. 3, Foziling Road, Nanning, Guangxi, 530028, People's Republic of China. 805898710@qq.com.
Wensheng Lu *Department of Endocrinology and Metabolism, National Key Endocrine Clinical Construction Specialty, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, Guangxi, 530021, People's Republic of China. Lwswxqz@163.com.ORCID http://orcid.org/0000-0002-0212-3624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic low-grade inflammation is related to bone metabolism in patients with type 2 diabetes mellitus (T2DM). However, credible data indicating the relationship between inflammation and fragility fracture risk in postmenopausal anemic females with T2DM are sparse. The current study sought to investigate the relationships between the systemic immune-inflammatory index (SII) and fragility fracture events, as well as the future 10-year fragility fracture probability evaluated using the fracture risk assessment tool (FRAX) in postmenopausal females with T2DM.

methodsAccording to the tertiles of SII, 423 postmenopausal females with T2DM were divided into three groups: low-level (≤ 381.32, n = 141), moderate-level (381.32-629.46, n = 141), and high-level (≥ 629.46, n = 141). All participants were followed up for 7 years with a median of 46.8 months (1651 person-years). The association between SII and fragility fracture risk was assessed.

resultsOf 423 subjects, 75 experienced a fragility fracture event. Spearman partial correlation analysis revealed that SII was negatively related to bone mineral density (BMD) and was positively associated with the future 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF). Restricted cubic spline (RCS) analysis revealed a positive correlation between SII and fragility fracture risk in an approximately inverted J-shaped dose-response pattern (P for overall < 0.0001). Multivariate Cox regression analysis demonstrated that patients with a high SII presented a greater risk of fragility fractures (P = 0.011). Stratified analysis revealed that fragility fractures in the high-level SII were predominantly associated with anemia with an increase of 4.15 times (P = 0.01). Kaplan‒Meier analysis indicated a greater cumulative incidence of fragility fractures in patients with a high SII (log-rank, all P = 0.0012). Receiver operating characteristic (ROC) analysis indicated an optimal SII cut-off value of 537.34, with an area under the curve (AUC) of 0.646, a sensitivity of 60%, and a specificity of 64.1% (P < 0.001).

conclusionThe SII revealed a significant positive association with a real-world fragility fracture event and a future 10-year fragility fracture probability in postmenopausal females with T2DM, particularly evident in individuals with anemia. Therefore, monitoring the SII and hemoglobin in postmenopausal older women with T2DM is helpful in routine clinical practice to identify individuals at high risk for fragility fractures and to promptly execute appropriate fracture intervention procedures.

Indexed as

Bone DensityDiabetes Mellitus, Type 2Osteoporotic FracturesPostmenopauseAgedAnemiaFemaleFollow-Up StudiesHumansInflammationLongitudinal StudiesMiddle AgedOsteoporosis, PostmenopausalPrognosisRisk AssessmentRisk FactorsAnemiaFragility fracturePostmenopausal femalesSystemic immune-inflammatory index (SII)Type 2 diabetes mellitus (T2DM)

Identifiers

PMID39604954
PMCPMC11600564

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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.