Evidence map›Paper›PMID 36720744›Full record

ReviewInternational urology and nephrology2023

A nomogram for predicting the 4-year risk of chronic kidney disease among Chinese elderly adults.

Lijuan Zhang, Lan Tang, Siyu Chen, Chen Chen, Bin Peng

Abstract readReview
PubMed Publisher
In one paragraph

Review in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Lijuan ZhangDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Lan TangPhysical Examination Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Siyu ChenDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Chen ChenDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Bin PengDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China. pengbin@cqmu.edu.cn.
Chongqing Public Health Medical Center · CNChongqing Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

The National Key R&D Program of China 2018YFC1311706
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) has become a major public health problem across the globe, leading to various complications. This study aimed to construct a nomogram to predict the 4-year risk of CKD among Chinese adults.

methodsThe study was based on the China Health and Retirement Longitudinal Study (CHARLS). A total of 3562 participants with complete information in CHARLS2011 and CHARLS2015 were included, and further divided into the training cohort and the validation cohort by a ratio of 7:3. Univariate and multivariate logistic regression analyses were used to select variables of the nomogram. The nomogram was evaluated by receiver-operating characteristic curve, calibration plots, and decision curve analysis (DCA).

resultsIn all, 2494 and 1068 participants were included in the training cohort and the validation cohort, respectively. A total of 413 participants developed CKD in the following 4 years. Five variables selected by multivariate logistic regression were incorporated in the nomogram, consisting of gender, hypertension, the estimated glomerular filtration rate (eGFR), hemoglobin, and Cystatin C. The area under curve was 0.809 and 0.837 in the training cohort and the validation cohort, respectively. The calibration plots showed agreement between the nomogram-predicted probability and the observed probability. DCA indicated that the nomogram had potential clinical use.

conclusionsA predictive nomogram was established and internally validated in aid of identifying individuals at increased risk of CKD.

Indexed as

East Asian PeopleRenal Insufficiency, ChronicAgedChinese peopleHumansLongitudinal StudiesNomogramsRetrospective StudiesCHARLSChronic kidney diseaseElderly adultsNomogram

Identifiers

PMID36720744
OpenAlexW4318700693

What Socratic 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 Socratic graph.