Evidence map›Paper›PMID 35093148›Full record

Observational studyJournal of orthopaedic surgery and research2022

Serum calcium-phosphorus product for predicting the risk of osteoporotic vertebral compression fractures in elderly patients: a retrospective observational study.

Pu Ying, Mingjia Gu, Xiaowei Jiang, Yue Xu, Lu Tong, Yi Xue, Qiang Wang, Zhihui Huang, Wenge Ding, Xiaoyu Dai

Abstract readObservational Study
In one paragraph

Observational study in Journal of orthopaedic surgery and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Pu Ying *Department of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Mingjia Gu *Department of Nephrology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Xiaowei JiangDepartment of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Yue XuDepartment of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Lu TongDepartment of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Yi XueDepartment of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Qiang WangDepartment of Orthopedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, No. 6 Huanghe Road, Changshu, 215500, China.
Zhihui HuangDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, No. 185 Juqian Road, Changzhou, China.
Wenge DingDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, No. 185 Juqian Road, Changzhou, China.
Xiaoyu DaiDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, No. 185 Juqian Road, Changzhou, China. dxyiverson3@163.com.ORCID http://orcid.org/0000-0002-3716-5103

Funding

suzhou clinical key disease diagnosis and treatment technology project LCZX201923the basic research project of changzhou science and technology bureau CJ20200112the youth project "science and education" of suzhou KJXW2020068
6 · The paper itself

Abstract

backgroundThis study retrospectively analyzed and evaluated the potential correlations of serum calcium, serum phosphorus, and calcium-phosphorus product (Ca-P product) with the incidence of osteoporotic vertebral compression fractures (OVCFs), with the aim of exploring whether the Ca-P product can be used as a serological indicator to predict the risk of OVCFs.

methodsThis study randomly enrolled 400 elderly patients in our hospital with OVCFs and 400 patients with hip and knee arthroplasty due to femoral head necrosis or osteoarthritis from August 2013 to April 2021. Age, sex, past medical history, and admission biochemical indicators, including albumin, blood urea nitrogen, serum creatinine, serum calcium and serum phosphorus, were collected for statistical analysis.

resultsAlbumin, serum calcium, serum phosphorus, Ca-P product, corrected serum calcium and corrected Ca-P product were lower in the OVCF group than in the non-OVCF group (P < 0.05). Multivariate logistic regression analysis showed that low values of serum calcium, serum phosphorus, Ca-P product, corrected blood calcium, and corrected Ca-P product can all be risk factors for OVCF. The ROC curve showed that the Ca-P product and corrected Ca-P product were effective in predicting the risk of OVCFs. The predictive value of the Ca-P product was the best; the cutoff point was 29.88, the sensitivity was 0.72 and the specificity was 0.62. The cutoff point of the corrected Ca-P product was 30.50, the sensitivity was 0.74, and the specificity was 0.62.

conclusionThe Ca-P product and corrected Ca-P product can be used as serological indicators to predict the risk of OVCFs in elderly individuals. Early clinical interventions targeting this risk factor can further reduce the risk of OVCFs. Also, timely and regular testing of the serum calcium and phosphorus level is recommended and encouraged for this group of people.

Indexed as

AgedAged, 80 and overCalciumFemaleFractures, CompressionHumansIncidenceMaleOsteoporotic FracturesPhosphorusRetrospective StudiesRisk FactorsSpinal FracturesTreatment OutcomeCalciumPhosphorusCorrected calcium–phosphorus productOsteoporotic vertebral compression fractureSerum calcium–phosphorus product

Identifiers

PMID35093148
PMCPMC8800191

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.