Evidence map›Paper›PMID 39108141›Full record

ArticleRenal failure2024

Construction and validation of a risk model of proteinuria in patients with omicron COVID-19: retrospective cohort study.

Lanbo Teng, Ge Chang, Xinyuan Song, Miaomiao Zhang, Yingying Han, Wenxiu Chang, Zhongyang Shen

Abstract readValidation Study
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

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4 · The record

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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.

Lanbo TengDepartment of Nephrology, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Ge ChangDepartment of Clinical Medicine, Tianjin Medical University, Tianjin, China.
Xinyuan SongDepartment of Nephrology, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Miaomiao ZhangDepartment of Nephrology, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Yingying HanDepartment of Nephrology, Tianjin First Central Hospital, Nankai University, Tianjin, China.
Wenxiu ChangDepartment of Nephrology, Tianjin First Central Hospital, Nankai University, Tianjin, China.ORCID 0000-0001-6269-5694
Zhongyang ShenNational Health Commission (NHC) Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the risk factors of proteinuria in Omicron variant patients and to construct and verify the risk predictive model.

methods1091 Omicron patients who were hospitalized from August 2022 to November 2022 at Tianjin First Central Hospital were defined as the derivation cohort. 306 Omicron patients who were hospitalized from January 2022 to March 2022 at the same hospital were defined as the validation cohort. The risk factors of proteinuria in derivation cohort were screened by univariate and multivariate logistic regression analysis, and proteinuria predicting scoring system was constructed and the receiver operating characteristic(ROC)curve was drawn to test the prediction ability. The proteinuria risk model was externally validated in validation cohort.

results7 factors including comorbidities, blood urea nitrogen (BUN), serum sodium (Na), uric acid (UA), C reactive protein (CRP) and vaccine dosages were included to construct a risk predictive model. The score ranged from -5 to 16. The area under the ROC curve(AUC) of the model was 0.8326(95% CI 0.7816 to 0.8835,

conclusionsThe risk model of proteinuria after Omicron infection had better assessing efficiency which could provide reference for clinical prediction of the risk of proteinuria in Omicron patients.

Indexed as

COVID-19ProteinuriaSARS-CoV-2AdultAgedChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsROC CurveomicronProteinuriarisk factorsrisk model

Identifiers

PMID39108141
PMCPMC11308959

What Socratic holds

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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.