Evidence map›Paper›PMID 38155834›Full record

Trial reportJournal of diabetes research2023

A Novel Risk Score Model for the Differential Diagnosis of Type 2 Diabetic Nephropathy: A Multicenter Study.

Yuetong Zhao, Lin Liu, Li Zuo, Xianghai Zhou, Song Wang, Hongwei Gao, Feng Yu, Xiaomei Zhang, Mi Wang, Ling Chen and 10 more

Open access · goldAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Journal of diabetes research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

20 authors at 1 institution in 1 country.

Yuetong ZhaoDepartment of Endocrinology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6352-9089
Lin LiuDepartment of Endocrinology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0764-1324
Li ZuoDepartment of Nephrology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-7340-5995
Xianghai ZhouDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-2340-6727
Song WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-6982-6220
Hongwei GaoDepartment of Endocrinology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8391-6628
Feng YuDepartment of Nephrology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-3060-6233
Xiaomei ZhangDepartment of Endocrinology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7978-8352
Mi WangDepartment of Nephrology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0009-0008-8005-6472
Ling ChenDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-9639-2691
Rui ZhangDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-6005-8245
Fang ZhangDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3707-9272
Shuhong BiDepartment of Nephrology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5235-2011
Qiong BaiDepartment of Nephrology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-1135-9572
Jiaxiang DingDepartment of Nephrology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-0194-4228
Qinghua YangDepartment of Nephrology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-9246-7529
Sixu XinDepartment of Endocrinology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5075-8616
Sanbao ChaiDepartment of Endocrinology, Peking University International Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-8746-518X
Min ChenDepartment of Nephrology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6413-6973
Junqing ZhangDepartment of Endocrinology, Peking University First Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-8574-1945
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: DN is a common complication of diabetes. However, diabetes combined with renal injury may involve DN or NDKD, with different treatment schemes. The purpose of our study was to determine the independent risk factors of DN and establish a risk score model to help differentiate DN and NDKD, providing a reference for clinical treatment. Methods: A total of 678 T2D patients who had undergone renal biopsy in four affiliated hospitals of Peking University were consecutively enrolled. Patients were assigned to the DN group and NDKD group according to histopathological results. Seventy percent of patients from PKUFH were randomly assigned to the training group, and the remaining 30% were assigned to the internal validation group. Patients from the other three centers were assigned to the external validation group. We used univariate and multivariate logistic regression analyses to identify independent risk factors of DN in the training group and conducted multivariate logistic regression analysis with these independent risk factors in the training group to find regression coefficients " Results: Diabetic retinopathy, diabetes duration ≥ 5 years, eGFR < 30 ml/min/1.73 m Conclusion: The risk score model could help differentiate DN and NDKD in a noninvasive manner, reduce the number of renal biopsies, and provide a reference for clinical treatment.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesBiopsyDiagnosis, DifferentialHumansRetrospective StudiesRisk Factors

Identifiers

PMID38155834
PMCPMC10754636
OpenAlexW4390080698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.