Evidence map›Paper›PMID 29743598›Full record

ArticleScientific reports2018

Development and assessment of a predictive nomogram for the progression of IgA nephropathy.

Lin-Lin Liu, Lin-Bo Zhu, Jian-Nan Zheng, Tong-Dan Bi, Jian-Fei Ma, Li-Ning Wang, Li Yao

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
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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

7 authors.

Lin-Lin LiuDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Lin-Bo ZhuDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Jian-Nan ZhengDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Tong-Dan BiDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Jian-Fei MaDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Li-Ning WangDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China.
Li YaoDepartment of Nephrology, The First Affiliated Hospital of China Medical University, Shen Yang, Liao Ning, China. liyao_cmu1h@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study is to establish a nomogram for predicting the prognosis of IgA nephropathy (IgAN). Of the 869 IgAN patients, four-fifths were randomly assigned to the development cohort and one-fifth to the validation cohort. The primary outcome was a composite event of either a ≥ 50% reduction in estimated glomerular filtration rate (eGFR), end-stage renal disease or death. The mean follow-up time was 44 months. The Cox regression model identified urinary protein excretion (1-3.5 g/d, HR 11.639, 95% CI 3.601-37.625; ≥ 3.5 g/d, HR 32.435, 95% CI 10.079-104.380), eGFR (G2, HR 5.293, 95% CI 2.011-13.932; G3, HR 15.797, 95% CI 6.584-37.905; G4, HR 34.619, 95% CI 13.887-86.301; G5, HR 217.651, 95% CI 83.807-565.248), hyperuricaemia (HR 7.031, 95% CI 4.126-11.980), mesangial proliferation (HR 36.667, 95% CI 5.098-263.711), segmental glomerulosclerosis (HR 5.122, 95% CI 3.114-8.425), tubular atrophy/interstitial fibrosis (T1, HR 33.351, 95% CI 7.831-142.044; T2, HR 213.888, 95% CI 51.048-896.182), crescents (C1, HR 3.123, 95% CI 1.771-5.510; C2, HR 7.353, 95% CI 3.590-15.062) and glomerulosclerosis (25-49%, HR 3.123, 95% CI 1.771-5.510; ≥ 50%, HR 14.384, 95% CI 8.813-23.479) for developing the nomogram. The C-index was 0.945 (95% CI 0.914-0.976) in both the development and validation cohorts, showing good agreement between the nomogram-predicted probability and actual free-of-progression probability. Thus, our nomogram could accurately predict the progression of IgAN patients.

Indexed as

Disease ProgressionNomogramsAdultAgedAnalysis of VarianceFemaleGlomerulonephritis, IGAHumansKidneyMaleMiddle Aged

Identifiers

PMID29743598
PMCPMC5943256

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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.