Evidence map›Paper›PMID 36717927›Full record

Observational studyJournal of orthopaedic surgery and research2023

Novel nomograms for predicting the risk of low distal bone strength: development and validation in a Chinese population-based observational study.

Congzi Wu, Ting Liu, Zhenyu Shi, Liang Fang, Hongting Jin, Peijian Tong

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Congzi Wu *Institute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, People's Republic of China.
Ting Liu *School of Nursing, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Zhenyu Shi *Institute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, People's Republic of China.
Liang FangInstitute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, People's Republic of China.
Hongting JinInstitute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, People's Republic of China. hongtingjin@163.com.
Peijian TongInstitute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, People's Republic of China. tongpeijian@163.com.
Zhejiang Chinese Medical University · CN

Funding

National Natural Science Foundation of China 81873324National Natural Science Foundation of China 81873325National Natural Science Foundation of China 81904221National Natural Science Foundation of China 81904223National Natural Science Foundation of China 81973869
6 · The paper itself

Abstract

backgroundThis study aims to develop nomogram models based on the speed of sound (SOS) measurements results along with demographic information to predict the risk of low bone strength (LBS) of radius appropriate to the Chinese population of a broad age spectrum.

methodsA population-based cross-sectional study was conducted in 5 outpatient clinics located in Zhejiang, the southern part of China. A total of 38,699 participants from 2013 to 2017 were included. Baseline measurements included SOS of the distal radius and clinical risk factor evaluation. Logistic regression models were used to evaluate prognosis and identify independent predictive factors, which were then utilized to establish nomograms for predicting the low bone strength of radius. The discrimination and calibration of nomograms were validated using the calibration plots, the decision curve analysis (DCA), and the receiver operating characteristics curve (ROC).

resultsA total of 19,845 of the 38,904 participants ranged in age from 10 to 88 years were selected in this process. LBP nomogram model 1 was constructed based on age, weight, height, BMI, and gender. LBP nomogram model 2 was constructed based on age, height, BMI, and gender. The AUCs for model 1 and model 2 were 0.838 (95% CI: 0.832-0.844) and 0.837 (95% CI: 0.831-0.843), respectively. High-quality calibration plots and DCA in nomogram models were noticed, indicated that the constructed nomogram models were clinically useful.

conclusionsOur study demonstrates that the nomograms established in this study could effectively evaluate the high-risk population groups of distal radius fracture in China.

Indexed as

East Asian PeopleNomogramsAdolescentAdultAgedAged, 80 and overAmbulatory Care FacilitiesArea Under CurveChildCross-Sectional StudiesHumansMiddle AgedPrognosisRetrospective StudiesROC CurveYoung AdultBone strengthNomogramPrognostic modelQuantitative ultrasound measurement (QUS)

Identifiers

PMID36717927
PMCPMC9885689
OpenAlexW4318590616

What OpenQuestion holds

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LicenceCC BY
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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.