Evidence map›Paper›PMID 37337359›Full record

ArticleUltrasonography (Seoul, Korea)2023

Renal Doppler ultrasonography for predicting non-diabetic kidney disease in patients with diabetes.

Sung Il Jung, Min Hoan Moon, Chang Kyu Sung, Myoung Seok Lee, Jeong Hwan Park, Sohee Oh

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Sung Il JungDepartment of Radiology, Konkuk University Medical Center, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul, Korea.
Min Hoan MoonDepartment of Radiology, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Chang Kyu SungDepartment of Radiology, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Myoung Seok LeeDepartment of Radiology, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Jeong Hwan ParkDepartment of Pathology, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University · KRKonkuk University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was conducted to assess the role of renal Doppler ultrasonography (US) in predicting non-diabetic kidney disease (NDKD) in patients with diabetes, using histologic findings as the reference standard.

methodsFifty-nine consecutive patients with diabetes who underwent renal Doppler US and native kidney biopsy were included in this retrospective, single-institutional study. Based on histologic findings, patients were classified as having diabetic nephropathy (DN) or NDKD. Renal Doppler US findings, including cortical echogenicity, corticomedullary differentiation, and the resistive index (RI), were compared between DN and NDKD. A subgroup analysis according to chronic kidney disease (CKD) status was also performed.

resultsCortical echogenicity and corticomedullary differentiation showed no significant differences between DN and NDKD (P=0.887 and P>0.99, respectively), whereas the RI was significantly higher in patients with DN than in those with NDKD (P=0.032). The subgroup analysis revealed a significant difference in the RI between DN and NDKD in patients with diabetes and CKD (P=0.010), but a significant difference was not found in those without CKD (P=0.713). When limited to patients with diabetes and CKD, the RI had an area under the curve value of 0.759, sensitivity of 57.1%, specificity of 81.0%, positive likelihood ratio of 3.0, and negative LR of 0.5 for predicting NDKD, using a cutoff value of ≤0.69.

conclusionRenal Doppler US may be useful in predicting NDKD in patients with diabetes and CKD.

Indexed as

Diabetes mellitusKidney biopsyNon-diabetic renal diseaseRenal Doppler ultrasonography

Identifiers

PMID37337359
PMCPMC10331050
OpenAlexW4381308675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.