Evidence map›Paper›PMID 31423643›Full record

ArticleJournal of clinical laboratory analysis2020

Systemic immune-inflammation index acts as a novel diagnostic biomarker for postmenopausal osteoporosis and could predict the risk of osteoporotic fracture.

Hong Fang, Hanqing Zhang, Zhi Wang, Zhongming Zhou, Yunjun Li, Lin Lu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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

62 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Hong FangDepartment of Gynecology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0003-4975-2783
Hanqing ZhangDepartment of Osteology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
Zhi WangDepartment of Osteology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
Zhongming ZhouDepartment of Gynecology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
Yunjun LiDepartment of Gynecology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
Lin LuDepartment of Osteology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-1362-5494
Hubei Provincial Hospital of Traditional Chinese Medicine · CNWuhan City Chinese Medicine Hospital · CN

Funding

Status and Development of Electronic Medical Records of Traditional Chinese Medicine zx2015D03
6 · The paper itself

Abstract

backgroundPostmenopausal osteoporosis (PMOP) is a bone metabolism disorder involving systematic inflammation activation. Blood routine examination is easily available in clinical practice and contains abundant information reflecting the systematic inflammation level. Thus, it is attractive to achieve early diagnosis of PMOP and predict osteoporotic fracture risk just based on the biomarkers in blood routine examination.

methodsA multi-centric prospective cohort study was designed and enrolled postmenopausal women from two independent institutions. All participants underwent the dual-energy X-ray absorptiometry (DEXA) scanning for diagnosing PMOP. Blood routine examination was conducted, and the key inflammatory biomarkers such as neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) were calculated. PMOP patients were followed up to observe osteoporotic fracture and identify the related risk predictors.

resultsA total of 92 participants out of 238 enrolled postmenopausal women were diagnosed with PMOP, with a prevalence of 38.66%. The main risk factors identified for PMOP included older age (OR = 2.06, 95% CI = 1.14-3.72), longer menopause duration (OR = 3.14, 95% CI = 2.06-4.79), higher NLR (OR = 2.11, 95% CI = 1.37-3.25), and higher SII (OR = 3.02, 95% CI = 1.98-4.61). Besides age and menopause duration, SII ≥834.89 was newly identified as a prominent risk factor for discriminating osteoporotic fracture risk in PMOP patients (HR = 3.66, 95% CI = 1.249-10.71).

conclusionAs an easy and economical biomarker calculated from blood routine examination, SII not only acts as a good risk predictor for PMOP diagnosis but also well discriminates the osteoporotic fracture risk, which deserves further investigation and application in clinical practice.

Indexed as

AgedBiomarkersFemaleHumansInflammationLogistic ModelsMiddle AgedMultivariate AnalysisOsteoporosis, PostmenopausalOsteoporotic FracturesRisk FactorsBiomarkersfractureneutrophil-to-lymphocyte ratiopostmenopausal osteoporosisrisk factorssystemic immune-inflammation index

Identifiers

PMID31423643
PMCPMC6977145
OpenAlexW2969326017

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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.