Evidence map›Paper›PMID 41629477›Full record

ArticleScientific reports2026

Comparison of Oxford versus Japanese Histological Grading to predict renal function decline in IgA nephropathy: a Japanese prospective cohort study.

Ryoko Sakaguchi, Kensuke Joh, Shiko Honma, Akira Shimizu, Akinori Hashiguchi, Ritsuko Katafuchi, Masako Nishikawa, Kentaro Koike, Keita Hirano, Nobuo Tsuboi and 3 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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
–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

0 citing papers in PubMed.

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

13 authors.

Ryoko SakaguchiDepartment of Pathology, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.ORCID http://orcid.org/0009-0000-8844-9811
Kensuke JohDepartment of Pathology, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan. johken1234@gmail.com.ORCID http://orcid.org/0000-0002-9334-3664
Shiko HonmaDepartment of Pathology, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan.ORCID http://orcid.org/0009-0005-7402-5125
Akira ShimizuDepartment of Analytic Human Pathology, Nippon Medical School, Tokyo, Japan.
Akinori HashiguchiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0002-6455-071X
Ritsuko KatafuchiKidney Unit, National Hospital Organization Fukuoka-Higashi Medical Center, Fukuoka, Japan.ORCID http://orcid.org/0009-0002-0360-1568
Masako NishikawaCenter for Research Promotion, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6649-9535
Kentaro KoikeDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Keita HiranoDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2313-8937
Nobuo TsuboiDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5407-5265
Tetsuya KawamuraDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8376-5273
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1838-7998
Yusuke SuzukiDepartment of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4077-9747

Funding

a Grant-in-Aid for Progressive Renal Diseases Research, Research on Rare and Intractable Disease, from the Ministry of Health, Labour and Welfare of Japan and Japan Agency for Medical Research and Development JP19ek0109261
6 · The paper itself

Abstract

The Oxford (split) and Japanese Histological Grade (JHG [lumped]) classifications of immunoglobulin A nephropathy (IgAN) are widely used in Japan. We compared their prognostic ability and explored the benefits of combining them. Data were from a prospective IgAN cohort (2005–2015). The primary endpoint was a ≥ 50% decline in estimated glomerular filtration rate (eGFR) or end-stage renal disease. Cox regression with Uno C assessed prognostic discrimination. The integrated discrimination improvement index evaluated the added value of histologic to clinical variables (eGFR, urinary protein, and mean arterial pressure) at 1, 5, and 10 years. Kaplan–Meier analysis stratified patients into JHG 1 and 2–4 to assess the prognostic value of mesangial hypercellularity (M) and interstitial fibrosis/tubular atrophy (T). Among 938 patients (median follow-up: 66 months), 58 (6.2%) reached the endpoint. M and T (Oxford) and JHG were significantly associated with outcomes. Both systems showed good discrimination (Uno C: 0.83 and 0.86). Adding Oxford to clinical variables improved prediction at 5 and 10 years; adding JHG improved prediction at 1, 5, and 10 years. M and T were predictive in JHG 2–4 but not in JHG 1. Both classifications demonstrated comparable discrimination. Their combined use can help enhance predictive precision.

Indexed as

Glomerulonephritis, IGAKidneyAdultDisease ProgressionEast Asian PeopleFemaleGlomerular Filtration RateHumansJapanKidney Failure, ChronicMaleMiddle AgedPrognosisProspective StudiesC statisticIgA nephropathyJapanese Histological Grade ClassificationOxford classificationPrognosis prediction

Identifiers

PMID41629477
PMCPMC12921284

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.