Evidence map›Paper›PMID 38799377›Full record

ArticleClinical interventions in aging2024

External Validation of the International IgA Nephropathy Prediction Tool in Older Adult Patients.

Qiuyue Zhang, Qi Zhang, Zhiyu Duan, Pu Chen, Jing-Jing Chen, Ming-Xv Li, Jing-Jie Zhang, Yan-Hong Huo, Wu-Xing Zhang, Chen Yang and 3 more

Abstract readValidation StudyMulticenter Study
In one paragraph

Article in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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

13 authors.

Qiuyue Zhang *Chinese PLA Medical School, Beijing, People's Republic of China.ORCID 0009-0007-3544-1323
Qi Zhang *Department of Nephrology, Capital Medical University Electric Power Teaching Hospital, Beijing, People's Republic of China.
Zhiyu DuanDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0002-5761-0964
Pu ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Jing-Jing ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Ming-Xv LiDepartment of Nephrology, Sixth Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Jing-Jie ZhangDepartment of Nephrology, Third Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Yan-Hong HuoDepartment of Nephrology, Seventh Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Wu-Xing ZhangDepartment of Nephrology, Eighth Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0002-6409-2018
Chen YangSchool of Medicine, Nankai University, Tianjin, People's Republic of China.
Yu ZhangSchool of Medicine, Nankai University, Tianjin, People's Republic of China.ORCID 0009-0006-6432-9982
Xiangmei ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-8774-6021
Guangyan CaiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The International IgA Nephropathy Prediction Tool (IIgAN-PT) can predict the risk of End-stage renal disease (ESRD) or estimated glomerular filtration rate (eGFR) decline ≥ 50% for adult IgAN patients. Considering the differential progression between older adult and adult patients, this study aims to externally validate its performance in the older adult cohort. Patients and Methods: We analyzed 165 IgAN patients aged 60 and above from six medical centers, categorizing them by their predicted risk. The primary outcome was a ≥50% reduction in estimated glomerular filtration rate (eGFR) or kidney failure. Evaluation of both models involved concordance statistics (C-statistics), time-dependent receiver operating characteristic (ROC) curves, Kaplan-Meier survival curves, and calibration plots. Comparative reclassification was conducted using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Results: The study included 165 Chinese patients (median age 64, 60% male), with a median follow-up of 5.1 years. Of these, 21% reached the primary outcome. Both models with or without race demonstrated good discrimination (C-statistics 0.788 and 0.790, respectively). Survival curves for risk groups were well-separated. The full model without race more accurately predicted 5-year risks, whereas the full model with race tended to overestimate risks after 3 years. No significant reclassification improvement was noted in the full model without race (NRI 0.09, 95% CI: -0.27 to 0.34; IDI 0.003, 95% CI: -0.009 to 0.019). Conclusion: : Both models exhibited excellent discrimination among older adult IgAN patients. The full model without race demonstrated superior calibration in predicting the 5-year risk.

Indexed as

Glomerular Filtration RateGlomerulonephritis, IGAKidney Failure, ChronicAgedChinaDisease ProgressionFemaleHumansKaplan-Meier EstimateMaleMiddle AgedRisk AssessmentRisk FactorsROC CurveIgAN Progressionolder adultsprediction modelsprogression riskrisk analysisstatistical validation

Identifiers

PMID38799377
PMCPMC11127691

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Registered trials

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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 OpenQuestion graph.