Evidence map›Paper›PMID 38874080›Full record

ArticleRenal failure2024

Risk factors and clinical prediction models for osteoporosis in pre-dialysis chronic kidney disease patients.

Chaoying Kuang, Jingjie Shang, Mingming Ma, Shengling Huang, Bing Yan, Yuzhen Zhong, Baozhang Guan, Jian Gong, Fanna Liu, Liangmei Chen

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Chaoying KuangNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Jingjie ShangNuclear Medicine, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Mingming MaNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Shengling HuangNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Bing YanNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Yuzhen ZhongNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Baozhang GuanNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Jian GongNuclear Medicine, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Fanna LiuNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.
Liangmei ChenNephrology Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0001-9350-9081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis in pre-dialysis chronic kidney disease (CKD) patients has been overlooked, and the risk factors of osteoporosis in these patients have not been adequately studied.

objectiveTo identify risk factors for osteoporosis in pre-dialysis CKD patients and develop predictive models to estimate the likelihood of osteoporosis.

methodsDual-energy X-ray absorptiometry was used to measure bone mineral density, and clinical examination results were collected from 326 pre-dialysis CKD patients. Binary logistic regression was employed to explore the risk factors associated with osteoporosis and develop predictive models.

resultsIn this cohort, 53.4% (

conclusionRisk factors for osteoporosis vary by gender and renal function stages. The nomogram clinical prediction models we constructed may aid in the rapid screening of patients at high risk of osteoporosis.

Indexed as

Absorptiometry, PhotonBone DensityOsteoporosisRenal Insufficiency, ChronicAdultAgedAlkaline PhosphataseFemaleHumansLogistic ModelsMaleMiddle AgedNomogramsRenal DialysisRisk FactorsVitamin DAlkaline PhosphataseVitamin Dbone alkaline phosphatasebone mineral densityCKD mineral bone disorderosteoporosisPre-dialysis CKDvitamin D

Identifiers

PMID38874080
PMCPMC11182074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.