Evidence map›Paper›PMID 34407751›Full record

ArticleBMC nephrology2021

Modified arteriosclerosis score predicts the outcomes of diabetic kidney disease.

Yifan Zhang, Qifeng Jiang, Jianteng Xie, Chunfang Qi, Sheng Li, Yanhui Wang, Yau Hok Him, Zujiao Chen, Shaogui Zhang, Qiuling Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. 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
1.3field-weighted citation impact, top 20% 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, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Heterogeneous afferent arteriolopathy: a key concept for understanding blood pressure-dependent renal damage.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. 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

15 authors at 7 institutions in 1 country.

Yifan Zhang *The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Qifeng Jiang *Division of Renal Pathology, Guangzhou KingMed Diagnostic Laboratory LTD, Guangzhou, 510320, China.
Jianteng XieDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Chunfang QiDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Sheng LiDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Yanhui WangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Yau Hok HimThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Zujiao ChenThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Shaogui ZhangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Qiuling LiDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Yuan ZhuDivision of Nephrology, Wenzhou People's Hospital, Wenzhou, 325000, China.
Ruizhao LiDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Xinling LiangDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Xiaoyan BaiDivision of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Main Building, Room 1436, Guangzhou, 510080, Guangdong, China.
Wenjian WangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China. wwjph@126.com.
Guangdong Academy of Medical Sciences · CNSouthern Medical University · CNGuangdong Provincial People's Hospital · CNKingmed Diagnostics · CNShantou University · CNWenzhou City People's Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe significance of renal arteriosclerosis in the prediction of the renal outcomes of diabetic kidney disease (DKD) remains undetermined.

methodsWe enrolled 174 patients with DKD from three centres from January 2010 to July 2017. The severity and extent of arteriosclerosis were analysed on sections based on dual immunohistochemical staining of CD31 and α-smooth muscle actin. An X-tile plot was used to determine the optimal cut-off value. The primary endpoint was renal survival (RS), defined as the duration from renal biopsy to end-stage renal disease or death.

resultsThe baseline estimated glomerular filtration rate (eGFR) of 135 qualified patients was 45 (29 ~ 70) ml/min per 1.73 m

conclusionsThe severity and proportion of arteriosclerosis may be helpful prognostic indicators for DKD.

Indexed as

Glomerular Filtration RateAdultAnalysis of VarianceArteriosclerosisBiopsyDiabetic NephropathiesFemaleHumansKaplan-Meier EstimateKidneyMaleMiddle AgedNomogramsPrognosisRenal ArteryArteriosclerosisDiabetic kidney disease (DKD)NomogramOutcomesRenal pathology

Identifiers

PMID34407751
PMCPMC8375127
OpenAlexW3193704240

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.