Evidence map›Paper›PMID 33932202›Full record

ArticleEndocrine2021

Comparison of methods to improve fracture risk assessment in chinese diabetic postmenopausal women: a case-control study.

Zhangxin Wen, Na Ding, Rong Chen, Shuyin Liu, Qinyi Wang, Zhifeng Sheng, Hong Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2021. 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
0.7field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Association of C-peptide level with bone mineral density in type 2 diabetes mellitus.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  3. Article
  4. Review
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

7 authors at 1 institution in 2 countries.

Zhangxin Wen *Health Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Na Ding *Health Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Rong ChenHealth Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Shuyin LiuHealth Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Qinyi WangHealth Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Zhifeng ShengHealth Management Center; National Clinical Research Center for Metabolic Diseases; Department of Metabolism and Endocrinology; Hunan Provincial Key Laboratory for Metabolic Bone Diseases, the Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, China. shengzhifeng@csu.edu.cn.ORCID http://orcid.org/0000-0003-2308-3024
Hong LiuDepartment of Metabolism and Endocrinology, the affiliated Zhuzhou Hospital of Xiangya School of Medicine of Central South University, 116 Changjiang South Road, Zhuzhou, 412007, Hunan, China. lh18607412098@163.com.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated the predictive power of adjusted FRAX and standard FRAX models based on the actual prevalence of osteoporosis in type 2 diabetic (T2DM) postmenopausal women, and to explore the optimal strategy to better predicted fracture risk in postmenopausal women with diabetes in China.

methodsWe recruited 434 patients from community-medical centers, 217 with T2DM and 217 without T2DM (non-T2DM). All participants completed self-reported questionnaires detailing their characteristics and risk factors. Bone mineral density (BMD) and spinal radiographs were evaluated. The China FRAX model calculated all scores. The area under the receiver operator characteristic curve (ROC-AUC) evaluated the sensitivity, specificity, and accuracy for predicting 10-year risk for major (MOF) and hip (OHF) osteoporotic fractures in T2DM patients.

resultsT2DM patients had higher BMD but lower average FRAX values than non-T2DM patients. The unadjusted FRAX ROC-AUC was 0.774, significantly smaller than that for 0.5-unit femoral neck T-score-adjusted FRAX (0.800; p = 0.004). Rheumatoid arthritis (RA; AUC = 0.810, p = 0.033) and T-score (AUC = 0.816, p = 0.002) adjustments significantly improved fracture prediction in T2DM patients.

conclusionsFemoral neck T-score adjustment might be the preferred method for predicting MOF and OHF in Chinese diabetic postmenopausal women, while RA adjustment only effectively predicted HF risk.

Indexed as

Diabetes MellitusOsteoporotic FracturesAbsorptiometry, PhotonBone DensityCase-Control StudiesChinaFemaleHumansPostmenopauseRisk AssessmentRisk FactorsBone mineral densityFracture risk assessment toolOsteoporosisPostmenopausal womenType 2 diabetes

Identifiers

PMID33932202
OpenAlexW3132109955

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.