ArticleInternational journal of ophthalmology2025
Development and validation of a visual impairment prediction nomogram in chronic kidney diseases: the National Health and Nutrition Examination Survey, 1999-2008.
Article in International journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Development and validation of a logistic regression model for predicting visual impairment in middle-aged and older adults with diabetes: results from the China Health and Retirement Longitudinal Study.International journal of ophthalmology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo develop a nomogram to predict the risk of visual impairment (VI) in patients with chronic kidney disease (CKD).
methodsTotally 897 patients with CKD were selected from the National Health and Nutrition Examination Survey (NHANES). The training and validation sets were divided in a 7:3 ratio. Multivariate logistic regression and bidirectional stepwise regression was used to select the factor of developing nomogram. The performance of the nomogram was evaluated by receiver operator characteristic curve, calibration curve and decision curve analysis (DCA).
resultsAge, diastolic blood pressure, glucose, serum creatinine, income at or above poverty, and history of smoking were included in the nomogram. And the area under the receiver operating characteristic curve of the training and validation sets were 0.684 and 0.640, respectively. The fit of the model was demonstrated the calibration curve, and DCA showed the value of clinical application.
conclusionThe nomogram may help to screening the probability of VI in patients with CKD. Larger samples are needed to validate and improve the model to increase its efficacy.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.