Evidence map›Paper›PMID 35188068›Full record

Observational studyRenal failure2022

Addition of glomerular lesion severity improves the value of anemia status for the prediction of renal outcomes in Chinese patients with type 2 diabetes.

Lijun Zhao, Qianqian Han, Li Zhou, Lin Bai, Yiting Wang, Yucheng Wu, Honghong Ren, Yutong Zou, Shuangqing Li, Qiaoli Su and 7 more

Open access · goldAbstract readObservational StudyVideo-Audio Media
In one paragraph

Observational study in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

17 authors at 2 institutions in 2 countries.

Lijun ZhaoDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-7750-1864
Qianqian HanDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Li ZhouHistology and Imaging Platform, Core Facility of West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lin BaiHistology and Imaging Platform, Core Facility of West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yiting WangDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yucheng WuDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Honghong RenDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yutong ZouDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Shuangqing LiDepartment of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Qiaoli SuDepartment of General Practice, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Huan XuDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Lin LiDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Zhonglin ChaiDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Australia.
Mark E CooperDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Australia.
Nanwei TongDivision of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-5395-3660
Jie ZhangKey Laboratory of Transplant Engineering and Immunology, NHFPC; Regenerative Medicine Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Fang LiuDepartment of Nephrology, Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-1121-3004
Sichuan University · CNMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to determine the utility of biopsy data and anemia for the prediction of renal outcomes in Chinese patients with type 2 diabetes. In total, 441 Chinese patients with type 2 diabetes and biopsy-confirmed diabetic nephropathy (DN) were enrolled in a retrospective study. Their renal pathology was assessed using the Renal Pathology Society system. Cox proportional hazards models were used to estimate hazard ratios (HRs) for end-stage renal disease (ESRD), and immunofluorescence staining was used to assess the expression of hypoxia-inducible factor (HIF)-α in patients' kidneys. We found that glomerular pathology classification was an independent pathological predictor of low hemoglobin concentration, according to linear and logistic regression analyses. Each 1 g/dL decrease in baseline hemoglobin concentration was associated with a 42% higher risk of an adverse renal outcome, after adjustment for clinical and pathologic covariates. In patients with severe glomerular lesions, the risk of progression to ESRD was significantly higher if mild or moderate/severe anemia was present, but in patients with mild glomerular lesions, the risk was only significantly higher in those with moderate or severe anemia than in the absence of anemia. Harrell's C Concordance was improved, but the Akaike information criterion was worsened by adding the glomerular pathology classification to the use of anemia status and clinical data. Immunofluorescence staining revealed that renal HIF-1α and HIF-2α expression was significantly higher in classes II-IV than class I. Thus, the addition of glomerular pathology classification increases the value of anemia status for the prediction of the progression to ESRD.

Indexed as

AnemiaBiomarkersBiopsyChinaDiabetes Mellitus, Type 2Diabetic NephropathiesDisease ProgressionFemaleHemoglobinsHumansHypoxia-Inducible Factor 1, alpha SubunitKidney Failure, ChronicKidney GlomerulusLongitudinal StudiesMaleMiddle AgedBiomarkersHemoglobinsHypoxia-Inducible Factor 1, alpha SubunitanemiaDiabetic nephropathyend-stage renal diseaseglomerular classification

Identifiers

PMID35188068
PMCPMC8865131
OpenAlexW4212876659

What OpenQuestion holds

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LicenceCC BY
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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.